Statistics Assessment

50 55 and Price Price generally seems to increase as screen size increases. This p a direct positive relationship between screen size and prices for

elation Coefficient is .8925. This is a ositive relationship. This means that ze strongly effects price and as screen size s so does price.

n Statistics 0.892537413310057 0.796623034158208 0.78693841673717 178.059004170037 23 df SS MS F 1 2607944.05627868 2607944.05627868 82.2565311075394 21 665805.188286534 31705.0089660254 22 3273749.24456522 Coefficients Standard Error t Stat P-value -1242.13404246212 245.730834552789 -5.05485624025453 0.0000526614 50.6708329766287 5.58692509053385 9.06953863807522 0.0000000104 ased on Screen Size Sales Price ($) $277.97 $328.64 $379.31 $429.98 $480.65 $531.32 $581.99 $632.66 $683.33 $734.00 gression model that was made to asses the relationship between screen size and price. This model explai 25. This means that 90% of the variation in price is explained by screen size. is recommended that TV Revolution utilize the regression equation below to predict TV sale prices in the every inch added to size. TV Revolution conduct a multivariate regression model factoring in brand of TV, picture quality, or sound es. Y'=-1242.13+50.67x Where X equals screen size

Manufacturer Screen Size (inches) Price ($) 0 46 736.5 1 52 1150 SUMMARY OUTPUT 1 46 895 0 40 625 Regression 0 42 773.25 Multiple R 1 46 961.25 R Square 1 40 686 Adjusted R Square 0 37 574.75 Standard Error 0 46 1000 Observations 0 40 722.25 0 52 1307.5 ANOVA 1 32 373.75 0 37 657.25 Regression 0 32 426.75 Residual 0 52 1389 Total 1 40 874.75 0 32 517.5 1 52 1475 Intercept 0 40 954.25 Manufacturer 0 52 1551.5 Screen Size (inches) 0 46 1303 0 46 1430.5 0 52 1717 A multiple regression an model. The Adjusted R S simple regression mode follows. y'=

The slope coefficient for the variable "Manufacturer" is -102.12. This indicates a negative relationship bet manufacturer variable is also not significant which can be found by the associated p-value of .214106852 screen size is 51.04 which is a positive relationship and is significant, because it has a p-value of .0000000 significance of the multiple regression model as a whole, it is not recommended that TV Revolution utilize