OA g=0073² - 7 3331 + 724 889 OB. g-0.073-7.7651 + 724 889 OC. g=0434-7333 + 724 889 OD. g=0073 7333 + 724 889 OC. OD.
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- The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.The grades of a sample of 9 students on a prelim exam (x) and on the midterm exam (y) are shown in the excel worksheet. Find the regression equationThe following table shows the annual number of PhD graduates in a country in various fields. NaturalSciences Engineering SocialSciences Education 1990 70 10 60 30 1995 130 40 120 40 2000 330 130 280 120 2005 490 370 460 210 2010 590 550 830 520 2012 690 590 1,000 900 (a)With x = the number of social science doctorates and y = the number of education doctorates, use technology to obtain the regression equation. (Round coefficients to three significant digits.) y(x) =
- Create the regression equations based on the research model below!The following table shows the annual number of PhD graduates in a country in various fields. NaturalSciences Engineering SocialSciences Education 1990 70 10 60 30 1995 130 40 120 50 2000 330 130 280 140 2005 490 370 460 210 2010 590 550 830 520 2012 690 590 1,000 900 (a) With x = the number of social science doctorates and y = the number of education doctorates, use technology to obtain the regression equation. (Round coefficients to three significant digits.) y(x) =Suppose that a multiple linear regression model was fit to data and that the following output resulted: Coefficients: (Intercept)stop distancempgweight Estimate8.63315-0.06078 -0.037930.17295 Std. Error5.916410.073680.086610.08165 t value1.459-0.825 -0.438 2.118 Pr(>|t|)0.14820.41170.66260.0371 True or False? It is likely that at least one explanatory variable would be left in our model if a backwards selection process were performed. (Our significance level is 0.05 for all testing purposes.) True False
- The following table shows the annual number of PhD graduates in a country in various fields. NaturalSciences Engineering SocialSciences Education 1990 70 10 60 30 1995 130 40 100 50 2000 330 130 280 120 2005 490 370 460 210 2010 590 550 830 520 2012 690 590 1,000 900 (a) With x = the number of social science doctorates and y = the number of education doctorates, use technology to obtain the regression equation. (Round coefficients to three significant digits.) y(x) = What does the slope tell you about the relationship between the number of social science doctorates and the number of education doctorates? The slope tells us the increase in the number of education doctorates for each additional social science doctorate. The slope tells us the decrease in the number of social science doctorates for each additional education doctorate. The slope tells us the increase in the number of social science doctorates for each additional education doctorate.…The following data describes weekly gross revenue (), television advertising expenditures (), and newspaper advertising expenditures () for Showtime Movie Theaters. Weekly Gross Television Newspaper Revenue Advertising Advertising () () () 95 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 a. Find an estimated regression equation relating weekly gross revenue to television advertising expenditures and newspaper advertising expenditures (to decimals).In order to determine the relationship between the number of units sold of a company's product (y) in 11 cities with their major competitor's price (x1) in dollars, and the number of stores (x2) the competitor has in each city, the following data were collected. Units sold CompetitorPrice CompetitorStores 510 35 5 680 45 0 590 40 2 650 45 1 600 40 2 600 41 1 540 40 5 575 46 6 600 41 2 550 35 3 560 39 3 Generate a linear multiple regression output for the data.a) Report the regression coefficients accurate to 3 decimal places: ˆy^= ---- +------ x1 + -------x2 b) Report the coefficient of determination accurate to 3 decimal places: R2=
- given the information below: Row Education Income in in Years 2015 Dollars 1 7 22587 2 10 28305 3 12 40196 4 13 49483 5 14 54483 6 16 78073 7 18 99540 8 19 155646 9 21 125310 1. Estimate the regression equation Income = a + b(Education). 2. What is the predicted increase in Income for a one-year increase in Education? 3. What do you predict Income to be for a person who has 17 years of education? 4. How much of the variation in Income is explained (or accounted for) by Education?Listed below are the overhead widths (cm) of seals measured from photographs and the weights (kg) of the seals. Overhead width 7.2 7.4 9.8 9.4 8.8 8.4 Weight 116 154 245 202 200 191 The four pairs of values below were obtained from the regression equation. Which is an extrapolation? a) overhead width 7.5 cm, weight 144 kg b) overhead width 10 cm, weight 245 kg c) overhead width 7.2 cm, weight 132 kg d) overhead width 8.1 cm, weight 169 kgThe grades of a sample of 9 students on a prelim exam (x) and on the midterm exam (y) are shown below. Find the regression equation. y = 34.661 + 0.433x y = 0.777 + 12.0623x y = 12.0623 + 0.777x y = 34.661 - 0.433x