Question

Referring to Scenario 3, the linear equation is: 8 Scemarle 3 A company that has the distribution rights to home DyD sales of previously seleased movies woold like to use the box office gross (in dollan) to estimate the number of DyDs that it can expect to scll. Following is the output from a simple lincar regression analysis. Gross is the x variable and DriDa is the y variable. Assume a 0.05 level of significance (a-0.05) Note that "Signglicance F in the output below is the p valoe Ragresston Statsties Multiple R 0.8531 R Squase Adjustdat Square Standard Eror 0.7278 0.7180 47 8668 Observations 30 ANOVA A5 Stnicance Regression 1 171499 75 171499.78 74.8505 0.00000000 213 Residual 28 64154 42 2291 23 Total 29 235654 20 o Lewar 95% Urpar 95 Coefient Srandard Sar Brror Intercept 765331 118318 0.0000005 64680 52.2987 24 1007716 Gross 43331 0 500s 60000000 8.6516 3.3072 53590 0213 eMinimized View DvDs-4.3331Gross+76.5351 I Tech Support [Ver: 7.0.11 Jun 07, 2019 11:10-59 AM Mountain Standard Time

Answer 1

Question:

Referring to Scenario 3, the linear equation is:

Answer:

The Linear Equation is:

Dy D 76.5351+4.3331Gross

Explanation:

Given:

Gross = x variable

DyD = y variable

4.3331 = Slope

76.5351 = Intercept

is the Linear Equation

Intercept (slope)(x)