The following estimated regression equation based on 30 observations was presented. ŷ = 17.6 + 3.8x, - 2.3x2 + 7.6x3 + 2.7x4 The values of SST and SSR are 1,809 and 1,757, respectively.
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- A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.629 b=39.045 r2=0.806404 r=-0.898 Use this to predict the number of situps a person who watches 6.5 hour(s) of TV can do, and please round your answer to a whole number.A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were: y=ax+b a=-0.788 b=22.872 r2=0.388129 r=-0.623 Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one decimal place)xx=02
- The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.911x +48.495. Find the coefficient of determination and interpret the result. Money raised, x 463.9 657.2 730.4 790.5 777.9 1038.8 969.8 1222.5 Money spent, y 445.3 686.8 730.2 759,3 740.3 1007.6 926.5 1151.8 Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? O A. The coefficient of determination is the fraction of the variation in money spent that can be explained by the variation in money raised. The remaining fraction of the variation is unexplained and is due to other factors or to sampling error. O B. The coefficient of determination is the fraction of the variation in money spent that is unexplained and is due to other factors or sampling error. The remaining fraction of the variation is…A FIFA World Cup football is dropped from 35 different heights (in cm) and the height of the bounce is recorded (in cm.) The regression analysis gives the model bounce = -0.1 +0.70 drop. Predict the height of the bounce if dropped from 64 cm. 44.7 cm 44.8 cm 64.6 cm 91.57 cm 44.9 cmA regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y-ax+b a=-0.656 b=36.681 r2-0.877969 r=-0.937 Use this to predict the number of situps a person who watches 10 hours of TV can do (to one decimal place) Question Help: Message instructh Submit Question to search
- The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.958x+7.214. Find the coefficient of determination and interpret the result. Money raised, 471.5 666.3 732.7 X Money spent, y 441.1 677.4 729.8 750.1 726.6 1000.7 937.7 1165.2 Find the coefficient of determination and interpret the result. r2 = (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? O A. The coefficient of determination is the fraction of the variation in money spent that can be explained by the variation in money raised. The remaining fraction of the variation is unexplained and is due to other factors or to sampling error. OB. The coefficient of determination is the fraction of the variation in money spent that is unexplained and is due to other factors or sampling error. The remaining fraction of the variation is explained by the variation in…The table shows the number of goals allowed and the total points earned (2 points for a win, and 1 point for an overtime or shootout loss) by 14 ice hockey teams over the course of a season. The equation of the regression line is y = - 0.535x + 211.511. Use the data to answer the following questions. (a) Find the coefficient of determination, *, and interpret the result. (b) Find the standard error of the estimate, s., and interpret the result. Goals Allowed, x Points, y 210 212 219 220 253 258 282 202 208 198 217 201 260 243 e 113 106 101 96 84 82 51 109 99 99 95 82 74 68 (a) ? =O (Round to three decimal places as needed.) Interpret the coefficient of determination. Select the correct choice below and fill in the answer box to complete your choice. (Round to one decimal place as needed.) O A. About % of the variation in number of goals allowed can be explained by the relationship between number of goals allowed and points earned. The remaining variation is unexplained. O B. About % of…b. Estimate a regression equation (electricity sales) using only number of customers as a predictor variable. Interpret the coefficient and compare the result from part a. Determine the multiple regression equation. Let Y be estimated electricity sales, and X1 be the number of customers. Y=enter your response here+enter your response hereX1 (Type integers or decimals rounded to one decimal place as needed.)
- A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y). The results of the regression were: y=ax+b a=-0.784 b=34.422 r²=0.793881 r=-0.891 Use this to predict the number of sit ups a person who watches 0.5 hours of TV can do, and please round your answer to a whole number.The table shows the number of goals allowed and the total points earned (2 points for a win, and 1 point for an overtime or shootout loss) by 14 ice hockey teams over the course of a season. The equation of the regression line is y = - 0.673x +242.664. Use the data to answer the following questions. (a) Find the coefficient of determination, , and interpret the result. (b) Find the standard error of the estimate, s., and interpret the result. Goals Allowed, x Points, y 212 209 222 222 257 259 273 202 210 196 222 208 259 241 e 110 103 103 96 86 75 44 109 103 102 95 89 67 68 (2) ? =O (Round to three decimal places as needed.) Interpret the coefficient of determination. Select the correct choice below and fill in the answer box to complete your choice. (Round to one decimal place as needed.) O A. About % of the variation in number of goals allowed can be explained by the relationship between number of goals allowed and points earned. The remaining variation is unexplained. O B. About % of…The given paired data lists the heights (in inches) of various males who were measured on their eighth and sixteenth birthdays. Height (8 yrs) 52 50 48 51 51 48 (x) Height (16 yrs) 69 66 64 67 69 65 (y) Find the equation of the regression line and plot it on your scatter diagram using an x of 48 and an x of 51.