15)
from above data regression equation :miles per gallon =44.678846-0.0069050641*weight
hence predicted weight=44.678846-0.0069050641*3000=23.96~ 24.0 mpg
can someone help me with this problem and explain it? :) Dus f Facebook × |...
You are given the following regression equation for a scatter plot which The displays data for X= weight of car (in pounds) and y= Miles per gallon in City: Equation: y=-0.006x + 42.825 and r2= 0.7496. a. find the value of r2 based on the information given. b. Based on your value of r, what conclusion can you make about the correlation of this data? c. What does the value of r2 tell you about the regression? d. Use the...
You are given the following regression equation for a scatter plot which The displays data Weight of Car (in pounds) and y = Miles per Gallon in City: for x = y = -0.006.0 + 42.825 p2 = 0.7496 (Note: The scatter plot graph is attached to the Canvas assignment as a separate document.) (a) Find the value of r based on the information given. (b) Based on your value of r, what conclusion can you make about the correlation...
13. You are given the following regression equation for a scatter plot which The displays data for x = Weight of Car (in pounds) and y = Miles per Gallon in City: y = −0.006x + 42.825 r2 = 0.7496 (Note: The scatter plot graph is attached to the Canvas assignment as a separate document.) (a) Find the value of r based on the information given. (b) Based on your value of r, what conclusion can you make about the...
I need help with the last part of this problem - (d) Would it be reasonable to use the least-squares regression line to predict the miles per gallon of a hybrid gas and electric car? Why or why not? - Thank you so much! An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for...
5). a. An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y...
2. What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script. 3. Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model?...
Using a random sample of 25 vehicles, is there a relationship between a vehicle's weight (measured in kg) and it fuel mileage (measured in miles per gallon)? Complete the following correlation and regression analysis using the Minitab Express output. Satterplot of vehicle mileage vs vehicle weight vehide mileage Correlation Pearson r = -0.866579 P.Value = <0.0001 Model Summary S R-sq R-sgiad) 3.01615 75.10% 74.01% Regression Equation vehicle mileage = 45.645 -0.0052220 vehicle weight vehicle we oht a) Describe the nature...
I need help with the final part of this problem - (c) Interpret the coefficient of determination and comment on the adequacy of the linear model - all 4 parts. Thank you so much for all the help! The accompanying data represent the weights of various domestic cars and their gas mileages in the city. The linear correlation coefficient between the weight of a car and its miles per gallon in the city is r = −0.963. The least-squares regression...
Please help with regression problem! Multiple choice A researcher is interested to find out how the engine displacement vehicle weight, and the type of transmission [i.e. automatic & manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic; 0, if transmission is manual) Part of the raw data and the regression output of 40 different car models are given below. cementícubic Weightlb)l Trans Automobile Miles/gallon Displacement(cubic in) Corvette 22.50...
run a scatter plot for each of the two independent variables (IVs). The IVs are Temperature and Humidity. The dependent variable (DV) is “fuel economy” identified as MPG (miles per gallon) and provide conclusion based of the plots Run a correlation analysis. Determine if any of the Correlation Coefficients are statistically significant. What is your evaluation of the strength and direction of each IV with the DV? what are your overall impressions after analyzing the correlation matrix? setup and run...