The equation of a regression line is Y = 5.8 + 4x Estimate the value of Y when x = 13?
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Q: The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=-51.3 +0.4x, +…
A: Given dataThe equation is y⏞=-51.3+0.4x1+5.1x2 and given values are x1=71 and x2=8.9
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Q: The equation used to predict annual cauliflower yield (in pounds per acre) is y=24,321 +4.534x₁ -…
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Q: The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 51.3+0.4x,…
A: (a) The equation is y^=-51.3+0.4x1+5.2x2. The predicted volume for x1=71,x2=8.9 is,…
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Q: The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 51.7 +0.4x,…
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Q: The regression equation between X and Y is Y = 1.2 X + 6 Predict the value for x = 5?
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A: Given multiple regression equation is y=-50.7+0.3x1+5.2x2 when x1=70 , x2=8.9 y=?
Q: he equation used to predict annual cauliflower yield (in pounds per acre) is y = 24,121 +4.505x₁…
A: Y^=24121+4.505x1-4.772x2(a) x1 =35,100, x2 = 35,500(b) x1 = 36,800, x2 = 37,100(c) x1 =37,900, x2…
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- X₁ is the The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = -51.2 +0.4x₁ + 4.8x2, where tree's height (in feet) and x₂ is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x₁ = 73, x₂ = 8.8 (b) x₁ = 67, x₂ = 11.5 (c) x₁ = 85, x₂ = 17.6 (d) x₁ = 92, x₂ = 20.8 cubic feet. (a) The predicted volume is (Round to one decimal place as needed.) (b) The predicted volume is cubic feet. (Round to one decimal place as needed.) (c) The predicted volume is cubic feet. (Round to one decimal place as needed.) (d) The predicted volume is cubic feet. (Round to one decimal place as needed.) NextFind the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 425 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 226 270 16 15.8 364 481 521 15.5 15.4 14.9The equation used to predict annual cauliflower yield (in pounds per acre) is y =24,231 + 4.417x, - 4.677x,, where x, is the number of acres planted and x, is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x, = 36,100, X2 = 36,500 (b) x, = 37,800, X2 = 38,100 (c) X4 = 38,800, X2 = 39,000 (d) x, = 42,100, X2 = 42,200 %3D %3D (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.)
- Use the linear regression model yˆ=−24.8x+564.38 to predict the y-value for x=63.Use the linear regression model yˆ=−21.9x+927.93 to predict the y-value for x=37.The equation used to predict annual cauliflower yield (in pounds per acre) is y=24,786+4.563x, -4.736x2, where x, is the number of acres planted and x₂ is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x, 37,000, x₂=37,400 (b)x₁=38,700, x₂ = 39,000 (c) x₁=39,700, x₂-39,900 (d) x, 43,000, x₂=43,100 (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.) CIT
- An independent researcher wants to investigate if the factors which determine the house rent (Y, measured in dollars), such as the distance of the house from the airport (X,), the time since the house was built (X,), are significant or not. He collects data from 280 prospective locations and estimates the following regression equation: Y = 2.5 -0.88X, +1.98X2. (0.98) (2.14) The 95% confidence interval for the slope coefficient B,, keeping the other variables constant will be (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) owe ppe Based on the calculated confidence intervals, we can say that at the 5% significance level, we will V the hypothesis B, = 0. The 99% confidence interval for the slope coefficient B,, keeping the other variables constant will be (. 1.04 (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) Based on the calculated confidence intervals, we can say that at the 1% significance level, we…The following table gives the data for the average temperature and the snow accumulation in several small towns for a single month. Determine the equation of the regression line, yˆ=b0+b1xy^=b0+b1x. Round the slope and y-intercept to the nearest thousandth. Then determine if the regression equation is appropriate for making predictions at the 0.010.01 level of significance. Average Temperatures and Snow Accumulations Average Temperature (℉℉) 38 30 17 39 45 22 34 24 29 38 Snow Accumulation (in.in.) 6 19 27 5 13 26 26 14 13 5 Copy DataA data set whose original x values ranged from 41 through 78 was used to generate a regression equation of ŷ=5.3x – 21.9. Use the regression equation to predict the value of y when x=81.
- The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = -51.5+0.3x, +5.3x2, where x, is the tree's height (in feet) and x, is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. x₁ = 72. x₂ = 8.9 The predicted volume is cubic feet. (Round to one decimal place as needed.)Based on the data from six students, the regression equation relating number of hours of preparation (x) and test score (y) is y=67.3 + 1.07x . What is the best predicted test score for a student who spent 120 minutes preparing for the test?The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 50.8 + 0.3x, +4.5x,, where x, is the tree's height (in feet) and x, is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. x, = 70, x, = 8.6 The predicted volume is cubic feet. (Round to one decimal place as needed.)