Can you help me solve these questions?

A multiple regression analysis involving a sample size of 18 and 5 independent variables produced an output with explained and total variation as follows: SSR = 2673.468 SST = 3946.543 The standard error of the estimate =- Consider an anlalysis of a multiple regression model with 34 observations and 5 independent vanables, SST = 430 and SSE =189.2. a} What is the coefficient of determination? Round to 3 decimal places. RH ] b] What percent of the variation in the dependent variable _is not explained by 5 the independent variables in the model? Do not round nor' enter' the I sign in the box. | |% c) What is the value of the adjusted coefficient of determination? Round to 3 decimal places. Adjusted R2 =_ J In order to determine the relationship between the number of units sold of a company's product (y) in 11 cities with their major competitor's price (@1) in dollars, and the number of stores (2:2) the competitor has in each city, the following data were collected. Units sold Competitor Competitor Price Stores 590 36 600 44 545 35 w ww 560 39 680 45 0 590 40 510 35 582 36 600 41 540 40 600 40 Generate a linear multiple regression output for the data. a) Report the regression coefficients accurate to 3 decimal places: y= b) Report the coefficient of determination accurate to 3 decimal places: R' =In order to determine the relationship between the number of units sold of a company's product (y) in 9 cities with the number of stores (21) their main competitor has in each city, and the competitor's price (12 ) in dollars, the following data were collected. Units sold Competitor's Competitor's Stores Price 674 2 40 602 4 39 616 36 554 3 35 697 1 45 624 3 44 614 3 39 612 6 46 670 2 40 Generate a linear multiple regression output using software. Report regression coefficients accurate to 2 decimal places. Enter only positive values in the answer boxes. a) Holding competitor's price constant, for each unit decrease in the number of competitor's stores, the number of units sold increases of on average by units. b) Holding competitor's stores constant, for every dollar increase in competitor's price, the number of units sold increases yo on average by units. c) Which of the following best describes the constant by in the model? The competitor's price when 0 units are sold and there are 0 competitor's stores. O The interpretation of the intercept will not make practical sense in this case since the competitor's prices are far from being 0. The price the company should sell at if there is no competitor. The constant number of units sold irrespective of competitor's stores and price. d) What proportion of the variation in units sold is not explained by the independent variables? Report your answer as a percent accurate to 1 decimal place