Obtain the regression equation of Y on X for the followingdistribution.ƒ (x, y) = 7ix* exp (-y/1 +x); x, y 20.

Answered: Obtain the regression equation of Y on…

Trigonometry (MindTap Course List)

10th Edition

ISBN:9781337278461

Author:Ron Larson

Publisher:Ron Larson

Chapter6: Topics In Analytic Geometry

Section6.2: Introduction To Conics: parabolas

Problem 4ECP: Find an equation of the tangent line to the parabola y=3x2 at the point 1,3.

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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.) Next
Use the given data to find a regression line that best fits the price-demand data for price p in dollars as a function of the demand x widgets. Here, price is the dependent variable, and demand is the independent variable. Find the regression function for price, and write it as p ( x ) = m x + b. Does it look like the regression line models the data well? Why or why not? Use the regression function you found to estimate p ( x ) for specific values of x. Give the real-world interpretation of the result of such computations in complete sentences. Be sure to include units. Find the value of x would make p ( x ) = 0. Give the real-world interpretation of the result of the computation in complete sentences. Annual widget demand x (widgets) Price per widget p ($/widget) 10 147 20 132 30 125 40 128 50 113 60 97 70 85 80 82 90 79 100 53 Enter the value for m, rounded to the nearest thousandth. Enter the values for b, rounded to the nearest whole number.…
The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,482 +4.455x, - 4.602x,, 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, = 37,000, x, = 37,400 (b) x, = 38,800, x, = 39,000 (c) x, = 39,800, x, = 39,900 (d) x, = 43,000, X, = 43,100 (a) The predicted yield is (Round to one decimal place as needed.) pounds per acre. (b) The predicted yield is pounds per acre. (Round to one decimal place as needed.) (c) The predicted yield is (Round to one decimal place as needed.) pounds per acre. (d) The predicted yield is pounds per acre. (Round to one decimal place as needed.)
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 51.3 + 0.4x, +5.2x,, 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. (a) x, = 71, x2 = 8.9 (b) x, = 65, x2 = 11.4 (c) x, = 81, x2 = 17.2 (d) x, = 88, X2 = 2 %3D (a) The predicted volume is cubic feet. (Round to one decimal place as needed.)
The equation of a regression line is Y = 5.8 + 4x Estimate the value of Y when x 13?
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
A teacher plots the number of classes their students missed (1) with their scores on a test (y). The linear regression equation y= -4z + 98 is also shown on the graph. 20 Classes Missed Based on this information, which statements describe the possible relationship between the number of classes missed and the test scores? Select all that apply O Based on the linear regression equation, the y-intercept means that for 0 missed classes, the expected test score is 98. Test Scores

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Obtain the regression equation of Y on X for the following distribution. f (x, y) (1 + x)* exp (-y/1 +x); x, y 2 0.