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Explain your conclusion.ġ3.Perform the t-test on each independent variable. State the equation for this multiple regression model.ġ2.Perform the Global Test for Utility (F-Test). In an attempt to improve the model, we attempt to do a multiple regression model predicting CREDIT BALANCE based on INCOME, SIZE and YEARS.ġ1.Using MINITAB run the multiple regression analysis using the variables INCOME, SIZE and YEARS to predict CREDIT BALANCE. Interpret this interval.ġ0.What can we say about the credit balance for a customer that has a household size of 10? Explain your answer. Interpret this interval.ĩ.Using an interval, predict the credit balance for a customer that has a household size of 5. Interpret this interval.Ĩ.Using an interval, estimate the average credit balance for customers that have household size of 5. Interpret your results, including the p-value.Ħ.Based on your findings in 1-5, what is your opinion about using SIZE to predict CREDIT BALANCE? Explain.ħ.Compute the 95% confidence interval for beta-1 (the population slope).
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Interpret.ĥ.Test the utility of this regression model (use a two tail test with α =.05). Interpret.Ĥ.Determine the coefficient of determination. Interpret.Ģ.Determine the equation of the "best fit" line, which describes the relationship between CREDIT BALANCE and SIZE.ģ.Determine the coefficient of correlation. SIZE, including the graph of the "best fit" line. Squared and R.Using MINITAB perform the regression and correlation analysis for the data on CREDIT BALANCE (Y) and SIZE (X) by answering the following.ġ.Generate a scatterplot for CREDIT BALANCE vs. Then if you go back to stat and then couch and then either four or eight of the matter which one and then you should see that R. If you press enter and then enter again it'll say done. If you just go to second zero where it says catalog and scroll all the way down to the Ds we're looking for diagnostic on and it's coming up here there it is. Now if you don't see that don't freak out because it just means you're diagnostics aren't on. Squared in the arse that are I'm gonna go to write this down. List is a one wire list is all too unless you put it in different columns and then you calculate and then um I see the R. It doesn't really matter which one you choose at least.
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So this is linear regression here and you can either choose four or eight. if you go back to stat an air over to couch. It can be pretty cumbersome with the formula. And you can do this with a formula or any sort of technology. And then we're actually supposed to compute R. Proximity positive effects were to increase worldwide decreases. Okay, so for one reason the the slope is positive, but also more specifically as X increases, why also increases So if X increases in, why also increases then the R. So that's the best indication on what sign are will be it is going to be positive in this case. And if you were to draw an imaginary line that goes through or close to most of these points, that slope would be positive. And then the second part of this is to predict the sign of R. So this is these are the Five data values that you were given. Now if you don't if you just go to zoom and then zoom stat that probably will bring a what you're what you're seeing on your screen right now. So whenever you press graph you should see the data values. I choose this one because it's the easiest to see. List should be a one in the wild, they should be able to unless you put it in different columns and then the mark, you can choose whatever you want. I do I do the first one generally and just go in and just turn it on and you're gonna choose this first one uh Where it has the scatter plot. Values and if you go to second Y equals just make sure this this stat plot is on at least one of them. So if you go to stat and edit here, you can see that I have the X. Four because it's pretty neat and it goes by pretty quickly. But I'm gonna use technology, you can use any sort of technology want or you can just do it manually. You can do that in a normal Cartesian plane. And the first part is to do a scatter plot. Following is a solution video to # two and were given a data set here.