A.-3.79+0.897x B. y=-2.79+0.897x C. y=-3.79 0.801x D. y=-2.79+0.950x Time Remaining: 01:49:56 Next 12:06 PM CI
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- Find the equation of the regression line. X= 47,55,58,51,50,43 Y= 163, 203, 203, 182, 170, 140FAL 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 = 0.959x + 15.575. Find the coefficient of determination and interpret the result. Money raised, x Money spent, y 472.7 446.1 652.5 681.3 742.1 747.2 Find the coefficient of determination and interpret the result. 2 (Round to three decimal places as needed.) 785.7 779.4 1025.2 954.5 1207.4 1008.1 933.1 1165.1 769.1 725.3A real estate company wanted to see the relationship between home prices and square footage of homes for sale. The regression line is ŷ = –802,456 + 144x, where x is the square footage of a home. Complete the statement based on the information. For every -square-foot increase, the predicted home price is predicted to increase by $
- State the regression equation and use it to predict taxes for a house with lot size 10K.Which equation best represents the regression line for the data given in the table above? Oy=-3x+ 22 Oy=-3x-22 Oy= 3x+ 22 Oy= 3x- 22 71 hp Oly insertDetermine the quadratic regression for the data set below. (2,762),(5,939),(7,1177),(10,1714),(12,2192),(15,3089)
- Caselet #1 ADVERTISEMENT A marketing executive wishes to determine whether there is a relationship between the number of television commercials aired per week and the number of sales (in thousand pesos) of a product. The data for the sample follow. Number of Ads, x 2 8. 8. 10 12 Sales, y 2 4 7 6. 10The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis. Which of the following is the best interpretation of the coefficient of determination r2? About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span. About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.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 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…Use the given data to find the equation of the regression line. Round the final values to three places, if necessary. (1, 6), (3, 4), (5, 2) O = -2.79 + 0.897x O ý = 1.0 + 1.0x O ý = 7.0 - 1.0x O ý = -3.79 + 0.801xThe data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $6 million. Is the result close to the actual number of viewers, 2.9 million? Use a significance level of 0.05