Listed below is the multiple regression equation for predict…

Listed below is the multiple regression equation for predicting Y by X1 through X6. Y is the number of sales per year.  X1 is the number of personal emails sent. X2 is the number of hours spent on Zoom doing demos X3 is the amount spent on radio ads X4 is the number of cold calls made X5 is the number of email messages sent X6 is the number of sponsorships Regression Statistics   R Square 0.5   Standard Error 7.6796   Observations 24       Coefficients Standard Error Intercept 28.6081 6.8163 X1 0.2640 0.1005 X2 0.3207 0.2084 X3 -0.1356 0.0943 X4 6.1612 1.9439 X5 1.241 0.141 X6 1.4441 0.114 What is the computed value of the F statistic you would use to test the significance of the entire model? Round your answer to two decimal places.

A wine enthusiast wanted to predict the quality of wine base…

A wine enthusiast wanted to predict the quality of wine based on the fixed acidity (x1), volatile acidity (x2) and citric acidity (x3). Below is an excerpt of JMP output. The sample size was 1599.  Term Estimate StdErr T Ratio Intercept 4.5791258 0.115246 39.73 x1 1.127553 0.117063 9.63 x2 0.0018321 0.013928 0.13 x3 0.037279 0.011472 3.25   What is the p-value for Ho: Beta2 = 0 versus Ha: Beta2 does not equal 0?  Round your answer to three decimal places.