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An investment analyst collected data about 20 randomly chosen companies. The data consisted of the 52-week-high stock prices, price-to-earnings (PE) ratio, and the market value
An investment analyst collected data about 20 randomly chosen companies. The data consisted of the 52-week-high stock prices, price-to-earnings (PE) ratio, and the market value of the company. These data are in the accompanying table. Complete parts a through c below. Click the icon for the data on company performance. a) Let y Market value (in millions of dollars), x, 52-week-high stock prices, and x= Price-to-earnings ratio. Produce a regression equation to predict the market value using the 52-week-high stock price and the PE ratio of the company. y(+( + ( 2 (Round to two decimal places as needed.) b) Determine if the overall model is significant. Usee a significance level of 0.01. Determine the hypotheses. Choose the correct answer below. O A. Ho: BB2 #0 HA: BB0 . : - , %3D0 H At least one B0 . : , 3D, -0 HA B,B0 O D. H: At least one B0 Find the test statistic. F Round to two decimal places as needed.) Find the p-value. p-value (Round to four decimal places as needed.) Choose the correct conclusion below. O A. Reject Hn- There is not sufficient evidence that the overall model is significant. O B. Do not reject Hn There is sufficient evidence that the overall model is significant. O C. Do not reject Hn There is not sufficient evidence that the overall model is significant. that the Market Value 52-Week High PE Ratio 31 1578 18 66 8397 68 1318 31 23 1265 12 19 1565 23 25 46 1511 17 7680 29 63 35 21 37 21 30 45 36 20 1818 3433 4457 2638 33 63 1413 1944 43 28 50 3463 49 1652 29 20 1654 77 14 4296 34 19 1513 46 9 1516 48 13 1183 51 13 An investment analyst collected data about 20 randomly chosen companies. The data consisted of the 52-week-high stock prices, price-to-earnings (PE) ratio, and the market value of the company. These data are in the accompanying table. Complete parts a through c below. Click the icon for the data on company performance. a) Let y Market value (in millions of dollars), x, 52-week-high stock prices, and x= Price-to-earnings ratio. Produce a regression equation to predict the market value using the 52-week-high stock price and the PE ratio of the company. y(+( + ( 2 (Round to two decimal places as needed.) b) Determine if the overall model is significant. Usee a significance level of 0.01. Determine the hypotheses. Choose the correct answer below. O A. Ho: BB2 #0 HA: BB0 . : - , %3D0 H At least one B0 . : , 3D, -0 HA B,B0 O D. H: At least one B0 Find the test statistic. F Round to two decimal places as needed.) Find the p-value. p-value (Round to four decimal places as needed.) Choose the correct conclusion below. O A. Reject Hn- There is not sufficient evidence that the overall model is significant. O B. Do not reject Hn There is sufficient evidence that the overall model is significant. O C. Do not reject Hn There is not sufficient evidence that the overall model is significant. that the Market Value 52-Week High PE Ratio 31 1578 18 66 8397 68 1318 31 23 1265 12 19 1565 23 25 46 1511 17 7680 29 63 35 21 37 21 30 45 36 20 1818 3433 4457 2638 33 63 1413 1944 43 28 50 3463 49 1652 29 20 1654 77 14 4296 34 19 1513 46 9 1516 48 13 1183 51 13
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