EBK BUSINESS STATISTICS
7th Edition
ISBN: 8220102743984
Author: STEPHAN
Publisher: PEARSON
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Using the weights (lb) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation:
y = 58.9-0.00749x, where x represents weight. Complete parts (a) through (d).
Click the icon to view the car data.
The site to your captio V.UVITU.
D. The slope is -0.00749 and the y-intercept is 58.9.
c. What is the predictor variable?
...
OA. The predictor variable is highway fuel consumption, which is represented by x.
OB. The predictor variable is highway fuel consumption, which is represented by y.
C. The predictor variable is weight, which is represented by x.
OD. The predictor variable is weight, which is represented by y.
d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2994
lb?
The best predicted value of highway fuel consumption of a car that weighs 2994 lb is
(Round to one decimal place as needed.)
mi/gal.
What is the value of the y-intercept?
what is the meaning of the meaning of the y-intercept?
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.)
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- Find an equation of a line parallel to the line y=3x+1 that contains the point (4,2) . Write the equation in slopeintercept form.arrow_forwardFind the slope of the line: x = —4.arrow_forwardA 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 Scoresarrow_forward
- A regression analysis between cost to build a clinic (in dollars) and clinic size (in square foot) resulted in the following equation: y=75+6x. This implies that if the clinic size is 800 square feet, then the cost to build a clinic (in dollars) is?arrow_forwardThe volume (in cubic feet) of a black cherry tree can be modeled by the equation y = -50.6+0.4x₁ +4.7x2, where x₁ 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) x₁ = 73, x₂ = 8.6 (b) x₁ = 65, x₂ = 10.4 (c) x₁ = 83, x₂ = 16.9 (d) x₁ = 87, x₂ = 20.3 (a) The predicted volume is cubic feet. (Round to one decimal place as needed.)arrow_forward
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