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), x₁ = 52-week-high stock prices, and x2 = 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. ŷ = ( D + ( \ ) ×₁ + ( )x2 (Round to two decimal places as needed.) b) Determine if the overall model is significant. Use a significance level of 0.01. Determine the hypotheses. Choose the correct answer below. A. Ho: B₁ =B₂ =0 HA: 120 ○ C. Ho: B₁ =₂ =0 HA: At least one ẞ = 0 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. OB. Hg: At least one ẞ, *0 ○ D. Ho: 1*2*0 HA: B1-B2-0 52-Week Market Value PE Ratio High 1562 30 8296 73 1278 31 1255 12 1563 24 1506 47 8003 28 1809 35 3343 19 2227228229 19 59 17 23 19 66 23 32 4305 37 48 2676 32 36 1440 61 20 1989 44 24 3536 52 45 1726 30 18 1653 79 16 4120 34 19 1506 46 1522 49 15 1209 54 12 8 52