On the other hand, if you know they’re in an important meeting, you can avoid making her blush or giggle at the wrong time. If you catch them during one of these moments, it could lead to a brief, pleasantly surprising conversation that provides the levity you both need. If you know your partner’s routine, you may know when they’re more likely to see your text and respond to it, rather than leave you on “read”. Remember, even though people rarely go anywhere without their phones, they do have responsibilities during the day. I’m trying to concentrate on work, but all I can think about is you.Counting the minutes until I see you again….Are you my lost charger? ‘Cause I’m dying without you. I know you just left, but I can’t wait until you come back.Who wore it better? You always wear it better.You make it look easy, and look good doing it.Even at this party, I can’t take my eyes off of you.I’ll make the bed this morning, if we can mess it up later.That dress you wore a week ago…can you put it on tonight?.I’m about to suds up the dishes, want to come watch?.Some are sexy, some are fun, all are simple, cheesy, and intended to liven things up a bit. Looking for inspiration? Here are 20 flirty texts to consider sending your partner. “You know your partner inside and out, so flirting over text is a way you can let your partner know that you’re thinking of her during the craziness of the day, remind her of her attractiveness, and remind her how much she means to you.” 20 Flirty Texts to Send Your Partner “It’s about making the other person feel good based on how intimately you know them,” she says. Texting is a great forum for flirtation because it can be done from anywhere and a funny, flirty text is a great change-up from the normal “Hey can you grab X from the grocery store?”Īccording to Stephanie Mintz, M.A., LMFT, flirting is more than just talking about sex. And an easy way to do it is to send flirty texts. It snaps us out of the present and reminds you, that you are two people who find each other attractive. Flirting is cheesy and silly but that’s part of the joy. And two, done right, it’ll make your partner feel good. Because, first of all, it’s fun to dust off that skill. It’s especially so, for those who are knee-deep in the hectic, messy world of raising kids where the distance between who you once were and who you are can seem vast. But, the thing is, flirting is an easy way to playfully express love, desire, and admiration for someone. Like putting copious amounts of gel in your hair or using too much body spray, it can be viewed as something you once did when dating but don’t anymore. When you’re married with kids, flirting can easily become a vestigial trait.
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When these modules are sold somewhere, that means that usually they are under copyright, and somebody is making gain from their sell, and if you circumvent that, it is immoral (unless you have copyright permission from the copyright owners), and it danger, possibly getting you in legal troubles on down the road. BY DEFINITION, this is to stop you from doing exactly what we are talking about, and again, you should refrain from doing anything with any locked or encrypted modules. Realize that most Bible software programs have locked modules, and when a module is “locked”, the whole purpose is to keep it from being decomposed into a text file.To make matters worse, don’t post to the Internet anything done like this. The moving of copyrighted works from one format to another is a danger game to begin. Unacceptable explanations of the Trinity. Other Consideration that God has to be three persons. Why God is one, but has to be three persons in that one God: Love needs three people. And still more-good-postsĬox A Study on the Trinity is a short 32-page work on the Trinity with special attention applied towards Muslims and Jehovah's Witnesses. Problems with Total Depravity or Inability. Things that God dislikes, God chastises those in hell, for the saved, God causes the elect to lose some of their heavenly rewards for their sins, if not also causing them problems in earth before they die. God judges every person, even the elect, and He rewards them as such. Salvation is only by faith in Jesus Christ the Savior. But the "bottom line" here is that God does approve and disapprove different people's lives. Good works never save anybody, we can affirm this as true. Their "system" is fatally flawed, therefore. The bottom line: Calvinism does not take into consideration the places where God looked with approval on various people's lives. When God saves you and your family and kills everybody else on planet earth, that means something. Maybe the difference was Noah’s life was "better" than everybody's else's wicked lives, but even from that standpoint, God still acted greatly because of Noah's faith and daily relationship with God. Yet God views our lives, and in the Bible, certain people did please God like Noah. Calvinists says that there is nothing at all that any person can do to please God. The argument of the Calvinists breaks down completely when we examine the Bible and find examples of various individuals that did please God with their lives. This is a short article about this point of Calvinism. Problems with Total Depravity or Inability examines the flaws and errors of the Calvinist teaching of Total Depravity (which is really total inability, man is not responsible for his own actions and sins, because he cannot choose sin or obeying God). “Me and my family thought he was nice so we gave him a donation,” she said.įinally, with the sun getting low, Harp mounted his horse and made his way to the river bottom. Seven-year-old Socorro Lopez walked up and handed a dollar bill to the cowboy. “The more I tried to keep people away, the more they came around.”Ī grocery store clerk ran out and fed the horse carrots and greens. “The first time he came in here I was completely thrown,” French said. Security guard Tera Gay French ambled over and set a shopping cart in the parking stall in front of Blackfoot so the horse wouldn’t be disturbed. He tied the horse to a tree and the dog to a fire hydrant. Late in the afternoon one day, Harp walked Blackfoot and Pudge down Main Street, past City Hall and the San Buenaventura Mission, to a shopping center near Ventura Avenue. He also earns a few bucks now and then by allowing tourists or the locals to snap his photo. He roams Ventura’s downtown district during the day, posting a crudely written cardboard sign on the back of his horse advertising his need for work. He also carries extra horseshoes, which need to be replaced about every three weeks. He has three pairs of pants, three shirts and a ton of socks. “I’ve got all that I need right here,” he said, patting a hand-made saddle weighed down with a tent, a bedroll and a couple of sacks of feed. He spent a lot of time in the Bay Area, following a path laid down by the coastal highways.Īnd now the highway has led back to Ventura, where he will bunk down until it’s time to move on. He first rode into Ventura three years ago, on his way to San Francisco. And when he ran out of money he stopped and found work, doing construction or breaking horses. When he got tired, he tied Blackfoot to a tree and camped beneath the stars. It took six months to get from Oklahoma to California, but he got to see plenty of countryside along the way. And eventually, it got to the point where he just couldn’t take it anymore.ĭrawing on past experience working horses, he bought Blackfoot for $500 five years ago and set out on a great adventure. And at night he would sleep in his truck or flop at a motel. By day he would speed across the countryside, hauling whatever needed to be hauled. He long ago rejected the idea that four walls and indoor plumbing are standard issue for the American dream.Įven in his other life as a truck driver, he didn’t have a steady home. Besides, what need does he have for a bed and shower? He doesn’t go anywhere where Blackfoot can’t go. Harp thanked her for the offer but politely declined. “We’ve got a spare bed and a hot shower if you want,” said Louise Lampara, 26. Last week, a couple walked up and after chatting a few minutes offered Harp a place to stay while he was in town. People run up and push dollar bills into his hand, wishing him luck on his journey. Merchants poke their heads out of their shops to see what all the fuss is about. Motorists slow and crane their necks, doing double takes at the site of the tall stranger and his horse. Sidling down Main Street leading Blackfoot by the reins, he draws plenty of attention. Basically, we have removed what is not needed which typically happens in real world data sets too. The value of R-squared 0.93 still explains the relationship with the response variable in spite of having only one predictor variable. Results of the simple linear regression model (only one predictor variable): Let's remove those variables for better model precision: This indicates the relationship between the response variable and the three independent variables - population of the city, monthly income of riders, and average parking rates per month is not really significant. It can be seen from the results of the first model (multiple linear regression - where all the four predictor variables are used), the p-values of all the predictor variable except the price per week are greater than the chosen significance level 0.05. This assumption will be however validated as ours is a linear model and we have the constant β0 which takes care of it by forcing the mean of residuals to zero.įitting a new model - does it makes sense? It can be seen that the mean of residuals/ error terms is very tiny and can be approximated to 0. And all the given variables were included in the model which lead to a good R2 value (0.95). This has to be taken for granted as there was no precursor information about the data set. All independent variables are uncorrelated with the error term. But if interpreting coefficients, p-values are of major concern, then Variance Infation Factor helps in finding out multicollinearity.Ħ. Just like the case of heteroscedasticity, if predictions are the main goal, evaluating mutlicollinearity can be skipped and I have skipped it. This means no independent variable is a perfect linear function of other explanatory variables. It is out of scope for this analysis as the data set is constrained with respect to the number of independent variables. To randomize this serial correlation, independent variables which can be attributed to such effect has to be added and required subject matter expertise. If there is a pattern and one error term (generally the order in which observations are collected) helps in predicting the next error term, then there is problem. Observations of the error term are uncorrelated with each other. Note: To remove impure form of heteroscedasticity, subject-matter expertise is needed as the main concern is finding out the key variables which are reflected in the non-constant variance.Ĥ. However, this only matters when understanding the effects of independent variables and not if prediction making is the main goal. To remove heteroscedasticity (pure), either re-defining the variables or weighted regression technique (How in MS-Excel? - Coming soon) or Dependent variable transformation can be applied and convert the analysis to homscedastic. This made me easy to find out a pattern which is not the desired outcome when checking for goodness of fit via residual plots. A different interpretation is that it can be seen that for fitted values < 140000 of the Number of weekly riders variable, residuals are -ve while they are +ve in between. In our residual plot, the variance fans in which is a sign of heteroscedasticity. The residual vs fitted values plot tells about it. This means the residuals must have a constant variance across all the observations. The maximum value is 2.20 standard deviations away from the mean with which we can move ahead. Let's check that with a calculation of standardized residuals. The residuals mustn't be more than 3 standard deviations away from the residual mean. There should not be any outliers present. The first assumption can be validated from the scatter plots and the results of the regression which showcases different coefficients and the fitted values are calculated using the linear equation. There must be a linear relation between independent and dependent variables. See their site for resources they have developed for teaching data analytics in introductory accounting.1. Ohio Jennifer Cainas, CPA, DBA, is a clinical professor at the University of South Florida in Tampa and Tracie Miller-Nobles, CPA, is an associate professor of accounting at Austin Community College in Austin, Texas. Wendy Tietz, CPA, CGMA, Ph.D., is a professor of accounting at Kent State University in Kent. The next time you teach cost behavior, consider expanding your students' Excel skills by teaching them how to perform a simple linear regression, one of the many options within the Data Analysis function. Now that you have the regression results, you can discuss with the students the key pieces of information being displayed, including the coefficients (the intercept representing the fixed costs, and the X variable 1 representing the variable costs) and how to interpret the R square and adjusted R square values. |
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