from given data:
Source | df | SS | MS | F |
regression | 4 | 164 | 41 | 13.120 |
error | 16 | 50 | 3.125 | |
total | 20 | 214 |
A clothing manufacturer wants to estimate the amount of scrap cloth generated each day by its fab...
A clothing manufacturer wants to estimate the amount of scrap cloth generated each day by its fabric cutting machines. Eight potential independent variables have been identified, including, for example, =x1 amount of cloth run through cutting machines (in square feet), =x2 machine cutting speed (in feet per minute), =x8 age of machine (in years). The manufacturer selects 7 of the candidate independent variables to use in a multiple regression model for estimating y, the amount of scrap cloth (in square...
2. Multiple coefficient of determination Macroeconomics is the study of the economy as a whole. A macroeconomic variable is one that measures a characteristic of the whole economy or one of its large-scale sectors. In forecasting the sales of a product, market researchers frequently use macroeconomic variables in addition to marketing mix variables (marketing mix variables include product, price, place [or distribution], and promotion). A market researcher is analyzing an existing multiple regression model that predicts sales for different brands...
1. One Price Realty Company wants to develop a model to estimate the value of houses in its inventory The office manager has decided to develop a multiple regression model to help explain the variation in house values. (25 points) The office manager has chosen the following variables to develop the model: X1 square feet X2- age in years x3- dummy variable for house style (1 if ranch, 0 if not) X4-2d dummy variable for house style (I if split...
The following ANOVA model is for a multiple regression model with two independent variables: Degrees of Sum of Mean Source Freedom Squares Squares F Regression 2 60 Error 18 120 Total 20 180 Determine the Regression Mean Square (MSR): Determine the Mean Square Error (MSE): Compute the overall Fstat test statistic. Is the Fstat significant at the 0.05 level? A linear regression was run on auto sales relative to consumer income. The Regression Sum of Squares (SSR) was 360 and...