Based on the data shown below, calculate the regression line (each value to two decimal places) y = x + x y 5 31.65 6 36.22 7 36.69 8 38.86 9 42.23 10 46.6 11 47.47 12 51.04
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Based on the data shown below, calculate the regression line (each value to two decimal places)
y = x +
| x | y |
|---|---|
| 5 | 31.65 |
| 6 | 36.22 |
| 7 | 36.69 |
| 8 | 38.86 |
| 9 | 42.23 |
| 10 | 46.6 |
| 11 | 47.47 |
| 12 | 51.04 |
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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.Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?Special Rounding Instructions For this exercise set, round all regression parameters to three decimal places, but round all other answers to two decimal places unless otherwise indicated. First Down The following table shows the probability P, as a percentage, of a college football team converting on fourth down when not goal to go versus the distance D, in yards, to the first down maker. 28 D = distance, in yards P = probability 1 70 2 60 3 53 4 46 5 41 6 37 7 34 8 32 a.Use exponential regression to model the data. b.Plot the data along with the exponential model. c.What probability does the model give of gaining a first down for fourth down and 10yards to go? Note: the actual probability is 28.
- Based on the data shown below, calculate the regression line (each value to at least two decimal places)y = ____x + ______ x y 1 0.21 2 0.62 3 4.13 4 2.24 5 4.25 6 1.06Based on the data shown below, calculate the regression line (each value to two decimal places)y = x + x y 5 6.7 6 8.46 7 7.52 8 7.88 9 7.94 10 8.7 11 9.66 12 9.52 13 10.18 14 12.44Based on the data shown below, calculate the regression line (each value to at least two decimal places)y = ____ x + _____ x y 5 35.7 6 32.15 7 28.6 8 28.65 9 26.9 10 21.75 11 21.3 12 16.15 13 13.1 14 12.65 15 8.6 (2 Part Answer)
- Based on the data shown below, calculate the regression line (each value to two decimal places)ŷ = ______ x + _______ x y 1 3.98 2 7.06 3 10.64 4 14.72 5 15.3 6 19.68 7 23.36 8 26.44 9 28.82 10 27.9 11 33.08 12 33.86Use the sample linear regression line Y^=2+3X for the data points below to answer the following questions. X 0 3 7 10 Y 5 5 27 31 1) What is the fitted value when X2=3? 2) What is the regression residual when X2=3?Based on the data shown below, calculate the regression line (each value to two decimal places)y = Incorrect x + Incorrect x y 2 7.52 3 8.03 4 11.04 5 15.55 6 15.16 7 17.37 8 20.38 9 21.79 10 26.3 11 28.21 12 30.62 13 32.23
- Based on the data shown below, calculate the regression line (each value to two decimal places) Y=? X+ =? X Y 2 12.44 3 13.61 4 13.08 5 15.25 6 16.82 7 16.59 8 20.66 9 18.53 10 21.6 11 22.27Use quartic regression to model the following data set. (Round your regression parameters to two decimal places.) y =_______ x 1 3 4 6 7 8 10 y 1 2 5 2 1 5 7The prelim grades (x) and midterm grades (y) of a sample of 10 MMW students is modeled by the regression line y = 12.0623 + 0.7771x. Estimate the prelim grade if the midterm grade is 83.
