Answer it correctly please. I will rate accordingly with multiple votes. Typed answer only and explain well. **Question:** Which of the following regression equations could be depicted in the picture below? (Hint: Pay attention to your axes).**Graph Description:**The scatter plot displays 'mpg' (miles per gallon) on the y-axis ranging from 10 to 35, and 'wt' (weight) on the x-axis ranging approximately from 1.5 to 5.5. A red line represents the regression line passing through the data points. The scatter plot indicates a negative linear relationship between mpg and wt.**Regression Equations Options:**1. $ \hat{mpg}_i = 37.29 - 5.34wt_i $2. $ \hat{mpg}_i = 30.44 - 5.34wt_i $3. $ \hat{mpg}_i = 30.44 + 5.34wt_i $4. $ \hat{mpg}_i = 37.29 + 5.34wt_i $In interpreting the graph, notice that as the weight (wt) increases, the miles per gallon (mpg) decreases, indicating a negative slope. This observation suggests that the correct regression equation will have a negative coefficient for $ wt_i $.

The regression equation is used for prediction. It is an equation made up of independent and…

Which of the following regression equations could be depicted in the picture below? (Hint: Pay attention to your axes). mpg 35- 30- 25 20 15- 10- O mpgi mpgi O mpgi Ompgi — 2 = -3 = 37.29 5.34wti wt 30.445.34wti 30.44 + 5.34wti 37.29 + 5.34wti 5

Which of the following regression equations could be depicted in the picture below? (Hint: Pay attention to your axes). mpg 35- 30- 25 20 15- 10- O mpgi mpgi O mpgi Ompgi — 2 = -3 = 37.29 5.34wti wt 30.445.34wti 30.44 + 5.34wti 37.29 + 5.34wti 5

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.CR: Chapter Review Exercises

Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...

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The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). Which regression equation is best for predicting city fuel consumption? Why? E Click the icon to view the table of regression equations. Choose the correct answer below. O A. The equation CITY = 6.65 - 0.00161WT + 0.675HWY is best because it has a low P-value and the highest adjusted value of R2. O B. The equation CITY = 6.83 - 0.00132WT - 0.253DISP + 0.654HWY is best because it has a low P-value and the highest value of R?. OC. The equation CITY = 6.83 - 0.00132WT - 0.253DISP + 0.654HWY is best because it uses all of the available predictor variables. O D. The equation CITY = - 3.14 + 0.823HWY is best because it has a low P-value and its R2 and adjusted R? values are comparable to…
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