# Question: A simple regression produces the regression equation Y bar 5X

A simple regression produces the regression equation Y-bar = 5X + 7.

a. If we add 2 to all the X values in the data (and keep the Y values the same as the original), what will the new regression equation be?

b. If we add 2 to all the Y values in the data (and keep the X values the same as the original), what will the new regression equation be?

c. If we multiply all the X values in the data by 2 (and keep the Y values the same as the original), what will the new regression equation be?

d. If we multiply all the Y values in the data by 2 (and keep the X values the same as the original), what will the new regression equation be?

a. If we add 2 to all the X values in the data (and keep the Y values the same as the original), what will the new regression equation be?

b. If we add 2 to all the Y values in the data (and keep the X values the same as the original), what will the new regression equation be?

c. If we multiply all the X values in the data by 2 (and keep the Y values the same as the original), what will the new regression equation be?

d. If we multiply all the Y values in the data by 2 (and keep the X values the same as the original), what will the new regression equation be?

## Answer to relevant Questions

Regress Y against X with the following data from a random sample of 15 observations: X Y 12 .............. 100 4 ............... 60 10 .............. 96 15 .............. 102 6 ............... 68 4 ...Explain what is tested by the hypothesis test in equation. What conclusion should be reached if the null hypothesis is not rejected? What conclusion should be reached if the null hypothesis is rejected? H0: β1 = β2 = β3 = ...A multiple regression of price versus the independent variables quality, industry, category, and quality X industry and quality X category was carried out. The R2 was 67.5%. The t statistic for each variable alone was ...A regression analysis was carried out of the stock return on the first day of an IPO (initial public offering) based on four variables: assessed benefit of the IPO, assessed improved market perception, assessed perception of ...A multiple regression model was developed for predicting firms' governance level, measured on a scale, based on firm size, firm profitability, fixed-asset ratio, growth opportunities, and non-debt tax shield size. For firm ...Post your question