Hi can you help me to answer to these questions? General Motors revenuesGM revenuesdate(SB)(SB) q-4D-0143,77442,118M-0244,2146,11340,698J-0244,217S-0241,41740,362D-0245,58443,774M-0347,14644,21J-0345,94446,113S-0343,3541,41749,08447,8349,254D-0345,584M-0447,14645,944J-04S-0444,93443,3549,084D-0451,428M-0546,28647,8349,254J-0548,99S-0547,72744,934D-0551,65251,428M-0652,37646,286J-0654,46448,99S-0649,347,727D-0651,20951,652M-0752,376J-0754,464S-0749,3D-0751,209 1. Regression equation in standard format2. What percent of variation in revenues can be accounted for by past revenues?3. How close to actual revenues could you expect a forecast to be 95% of the time?O 4. What range in percent of this quarter's GM revenues could managemet be 95% certain will repeat next year?1 5. present a scatterplot of 95% individual prediciton intervals with actual revenues by quarter. Insert a chart title that summarizes your conclusion.

Hi! Thank you for the question, As per the honor code, we are allowed to answer first three subparts…

. Regression equation in standard format . What percent of variation in revenues can be accounted for by past revenues? 3. How close to actual revenues could you expect a forecast to be 95% of the time? . What range in percent of this quarter's GM revenues could managemet be 95% certain will repeat next year? . present a scatterplot of 95% individual prediciton intervals with actual revenues by quarter. Insert a chart title that summarizes your conclusion.