ALL PLEASE HELP ME ANSWER THESE 2 QUESTIONS!!! THIS IS ALL THE INFOMATION I HAVE!! Detailed calculation must be presented PLEASE!

Home - Canva x | Beige Aesthetic Daily Vlog Yo x | ChatGPT x D2L Course Schedule - App Stat ( X Course Hero + kennesaw.view.usg.edu/d21/le/calendar/3226857/event/16315456/detailsview#16315456 App Slal Optimization IVOutis SELLUll VVU7 SUITITICI SCITIESLEI ZU24 CO 7. Sales Experience and Performance. A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. Years of Annual Sales Salesperson Experience ($1000s) 80 97 92 102 103 O 0 0 V Q UI A W N - Fig 111 119 123 11 117 13 136 a. Develop a scatter diagram for these data with years of experience as the independ- ent variable. b. Develop an estimated regression equation that can be used to predict annual sales given the years of experience. c. Use the estimated regression equation to predict annual sales for a salesperson with 9 years of experience.Home - Canva x | Beige Aesthetic Daily Vlog Yo x | ChatGPT x D21 Course Schedule - App Stat C X Course Hero + C . kennesaw.view.usg.edu/d21/le/calendar/3226857/event/16315456/detailsview#16315456 c. Use the estimated regression equation to predict annual sales for a salesperson with 9 years of experience. c. Predict the price for a DIKC URI west. 21. Cost Estimation. An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an account- ant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation. Production Volume (units) Total Cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 a. Use these data to develop an estimated regression equation that could be used to predict the total cost for a given production volume. b. What is the variable cost per unit produced? c. Compute the coefficient of determination. What percentage of the variation in total cost can be explained by production volume? d. The company's production schedule shows 500 units must be produced next month. Predict the total cost for this operation