11. (20 pts) The regression equation for the following set of data points is. 19 310...
11. (20 pts) The regression equation for the following set of data points is y = 6.65 + 1.47x. X 1 3 6 7 8 у 9 10 15 17 19 Use formula to find the coefficient of determination for the set of data points.
10 pts The regression equation for the given data points is provided. Graph the regression equation and the data points. x 10 14 20 6 6 14 16 24 32 36 y 19 23 29 12 17 23 25 33 37 5 A = 9.3 +0.95% 40 30 20+ 10+ 4 8 12 16 20 24 28 32 36 40 %
12. (20 pts) Compute the linear correlation coefficient of the following set of data points: X y 19 1 4 18 14 5 6 9 6 1 Use formula to find the linear correlation coefficient.
Use the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. b. Graph the regression equation and the data points. x 5 y -2 3 1 3-2 4 4 2 6 a. Find the regression equation for the data points. (Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.) b. Graph the regression equation and the data points. OA. 50 O c. 10...
Use the given data set to answer parts (a) and (b) a. Find the regression equation for the data points b. Graph the regression equation and the data points a Find the regression equation for the data points (Use integers or decimals for any numbers in the expression. Round to two decimal places as needed) b. Graph the regression equation and the data points OA. B. O D. of
5. (2 points) When a least-squares linear regression equation is constructed based upon a data set, and a line is constructed from this equation, which (Gif any) of the following is a. The point (F,) must be on the regression line. b. The point (0,b) must be on the regression line. c. The point (0,b) must be on the regression line. d. None of the above statements are false. All of the above statements are true. ons for ss is...
1 (50 pts). The following table is a set of data points. X у 2 15 5 12 9 6 12 7 (a) Use table and formulas to find the regression equation. (Note: Cannot use Excel or SPSS to do it.) (b) Estimate the value of y when x = 14.
1(50 pts). The following table is a set of data points. х у N 15 5 12 ON 6 12 7 (a) Use table and formulas to find the regression equation. (Note: Cannot use Excel or SPSS to do it.) (b) Estimate the value of y when x - 14.
CALCULATOR The following is a partial computer output of a multiple regression analysis of a data set containing 20 sets of observations on the dependent variabl The regression equation is SALEPRIC 1470+0.8145 LANDVAL + 0.8204 IMPROVAL +13.529 AREA Predictor Coef SE Coef T P Constant 1470 5746 0.26 0.801 LANDVAL 0.8145 0.5122 1.59 0.131 IMPROVAL 0.8204 0.2112 3.88 0.0001 AREA 13.529 6.586 2.05 0.057 S 79190.48 R-Sq 89.7% R-Sq(ad) =87.8% Analysis of Variance Source DF SS MS Regression 3 2926558914...
b. What is the equation of the regression
line for the set of points?
The best predicted weight for a bear with a
chest size of 48 inches is .......nothing pounds.
The best predicted temperature when a bug
is chirping at 3000 chirps per minute is .........F.
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 10 15 y...