'Regression Analysis and Credit Balance\r'

'AJ DAVIS devote a scatterplot for CREDIT BALANCE vs. sizing, including the graph of the â€Å" outmatch foregather” line. counsel. Determine the equation of the â€Å"best fit” line, which describes the relationship between CREDIT BALANCE and SIZE 2591+ 403. 221 Determine the coefficient of correlation. Interpret. .75/ r-sq(56. 6%). There is a delicate correlation. Determine the coefficient of determination. Interpret. 56. 6% Test the utility of this retroversion model (use a two tail turn out with ? =. 05). Interpret your results, including the p-value. P-value=0. retract the null hpothesis.T value 7. 9147 found on your findings in 1-5, what is your opinion about development SIZE to predict CREDIT BALANCE? size of it is a good predictor for credit repose. view the 95% confidence interval for beta-1 (the population slope). Interpret this interval. (300. 79, 505. 66) apply an interval, estimate the average credit labyrinthine sense for clients that have h ousehold size of 5. Interpret this interval. (4368. 20, 4846. 90) use an interval, predict the credit balance for a customer that has a household size of 5. Interpret this interval. (3337. 87, 5877. 23)What dejection we say about the credit balance for a customer that has a household size of 10? Denotes a point that is an extreme outlier in the predictors. Using MINITAB run the multiple regression analysis using the variables INCOME, SIZE and YEARS to predict CREDIT BALANCE. ground the equation for this multiple regression model. Credit balance= 1276. 02+ 32. 2719 income(1000) + 346. 852 size + 7. 88209 long time. Is this multiple regression model cave in than the linear model that we generated in parts 1-10? Yes. Reject years there is no corralation of coefficient. Income is useful and years in combination with size and income.\r\n'