# Question: Switching to the inference side of regression a Show the

Switching to the inference side of regression,

a. Show the 95% confidence interval estimate of the population intercept.

b. Show the 95% confidence interval estimate of the population slope.

c. Construct the appropriate hypothesis test to establish whether the coefficient for credit score in your estimated regression equation is statistically significant at the 5% significance level. Based on test results, what is your conclusion? Explain the implications of your conclusion.

Trenton Bank has a scoring system that it uses to evaluate new loan applications. You’ve been tracking the number of late or missed payments for a sample of “high risk” customers who received loans and have had scheduled payments over the past 60 months. The table below shows the number of late or missed payments and the credit scores for the four customers in the study.

a. Show the 95% confidence interval estimate of the population intercept.

b. Show the 95% confidence interval estimate of the population slope.

c. Construct the appropriate hypothesis test to establish whether the coefficient for credit score in your estimated regression equation is statistically significant at the 5% significance level. Based on test results, what is your conclusion? Explain the implications of your conclusion.

Trenton Bank has a scoring system that it uses to evaluate new loan applications. You’ve been tracking the number of late or missed payments for a sample of “high risk” customers who received loans and have had scheduled payments over the past 60 months. The table below shows the number of late or missed payments and the credit scores for the four customers in the study.

## Answer to relevant Questions

Using the Excel output template shown in Exercise 67, enter the correct values for each of the 16 blanks indicated. Trenton Bank has a scoring system that it uses to evaluate new loan applications. You’ve been tracking the ...Partial regression results from a sample of 13 observations are shown below. Fill in the three missing values indicated by ()*. Is the coefficient for the variable x (9.16) statistically significant at the 1% significance ...It is possible to adapt some of the tools used in linear regression to certain nonlinear cases. Suppose, for example, you wanted to link independent variable x to dependent variable y using the following data. The scatter ...The output below is from a multiple linear regression analysis attempting to link winning percentage (y) to weekly practice time (x1), average speed of first serve (x2), and first serve percentage (x3) using data from a ...Below is output from a regression analysis attempting to link dependent variable y to independent variables x1 and x2 using a sample of 19 observations. Build a 95% confidence interval estimate of the regression coefficients ...Post your question