(1) regression sum of square and 5410.3006
(2) required answer=regression sum of square/total sum of square=5410.3006/6270.4880=0.8628
(3)required answer=sqrt(294.8089)=17.17
(4)error sum of square and 850.9454
regression sum of square=(y^-y-)2=5410.3006
total sum of square=sum(y-y-)2=6270.4880
error sum of square=sum(y-y^)2=5410.3006
Last two photos are responses to choose for questions #1$#4 Bivariate data obtained for the paired...
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in tho scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y25.35+1.10x In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values y predicted from the regression equation Sample data Calculations 215.4 210.7 237.7 251.7...
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y = -0.17+ 1.17x. In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values y predicted from the regression equation. Sample data Calculations 69...
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is ý = 0.94 +0.893. In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values ♡ predicted from the regression equation. Sample data Calculations y...
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y-23733-0.81 In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values y predicted from the regression equation Sample data Calculations 107.7 155.1 117.3 135.2...
Name: Instructor Date: Section 6. The regression line equation for a set of data is given by y-23x+. -10. The value of for this same data set is 10.1. Use α .05 a. If the lincar correlation coefficient for this data is -521, what is the best y -value for x 57 b. If the linear correlation coefficient for this data is r 972, what is the best predicted y-value for x=5? size n 15 with a 01 7. What...
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 81 + 4x. Salesperson Years of Experience Annual Sales ($1,000s) 1 107 103 101 119 8 9 10 10 11 13 123 127 136 (a) Compute SST, SSR, and SSE. SST = SSR = SSE = (b) Compute the coefficient of determination 2. (Round your answer to three decimal places.) 12...
Compute and Interpret the Coefficient of Determination Question A scientific study on calorie intake gives the following data table. Calorie intake (1000) Weight gained (Ounces) 70 28 72 34 76 23 80 24 84 13 Using technology, it was determined that the total sum of squares (SST) was 237.2, the sum of squares regression (SSR)was 177.96, and the sum of squares due to error (SSE) was 59.244. Calculate R2 and determine its meaning. Round your answer to four decimal places....