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2. What is the coefficient of correlation between miles per gallon and weight? What is the...
Write the multiple regression equation for miles per gallon as the response variable. Use weight and...
Write the multiple regression equation for miles per gallon as the response variable. Use weight and horsepower as predictor variables. See Step 5 in the Python script. How might the car rental company use this model? OLS Regression Results ============================================================================== Dep. Variable: mpg R-squared: 0.822 Model: OLS Adj. R-squared: 0.808 Method: Least Squares F-statistic: 62.13 Date: Fri, 14 Feb 2020 Prob (F-statistic): 7.88e-11 Time: 05:00:39 Log-Likelihood: -69.730 No. Observations: 30 AIC: 145.5 Df Residuals: 27 BIC: 149.7 Df Model: 2...
Car Weight (pounds), x Miles per Gallon, y 1 3,765 19 2 3,984 18 3 3,530 ...
Car Weight (pounds),
x Miles per Gallon, y
1 3,765 19
2 3,984 18
3 3,530 20
4 3,175 22
5 2,580 26
6 3,730 18
7 2,605 25
8 3,772 18
9 3,310 20
10 2,991 24
11 2,752 25
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= -0.97 The...
1. Describe the trend of the data, if any. 2. Calculate the linear correlation coefficient and is the linear correlatio...
1. Describe the trend of the data, if any.
2. Calculate the linear correlation coefficient and is the
linear correlation coefficient
significant? Why/why not?
3. Find the least-squares line of regression.
4. Graph the regression line on the scatter plot
5. Plot the residuals (give it your own title and labels for the
axes!) with lines for 2 standard
deviations of the residuals.
6. Predict the gas mileage of a 2000, 3000 and 4000 lb car.
Make a scatter plot...
Question 4 (3 points) The statsmodels ols() method is used on a cars dataset to fit...
Question 4 (3 points) The statsmodels ols() method is used on a cars dataset to fit a multiple regression model using Quality as the response variable. Speed and Angle are used as predictor variables. The general form of this model is: Y = Bo + B. Speed+B Angle If the level of significance, alpha, is 0.10, based on the output shown, is Angle statistically significant in the multiple regression model shown above? Select one. OLS Regression Results ==================================== ========== 0.978...
can someone help me with this problem and explain it? :) Dus f Facebook × |...
can someone help me with this problem and explain it? :)
Dus f Facebook × | P InSite Con ses/40133/quizzes/84164 Question 15 0/1 pts The following regression analysis is for the miles per gallon a car gets versus the weight of the car. Simple linear regression results: Dependent Variable: Miles Per Gallon Independent Variable: Weight Miles Per Gallon 44.678846 0.0069050641 Weight Sample size: 15 R (correlation coefficient) 0.95024641 R-sq 0.90296824 Estimate of error standard deviation: 1.5357793 What MPG does the...
Please use DataAnalysis A study was conducted to build a regression model to predict miles per gallon (MPG) of vehicles...
Please use DataAnalysis
A study was conducted to build a regression model to predict miles per gallon (MPG) of vehicles. To develop the model, you obtained MPG of 43 random vehicles. In addition, you collected the following information - Length: vehicle length (inches) - Width: vehicle width (inches) - Weight: vehicle weight (pounds) - Made in Japan: whether the car is manufactured in Japan or not a. Fit a multiple regression model using all four independent variables. For "made in...
I need help with the final part of this problem - (c) Interpret the coefficient of...
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 ANSWER ALL parts . IF YOU CANT ANSWER ALL, KINDLY ANSWER PART (E) AND PART(F)...
PLEASE ANSWER ALL parts .
IF YOU CANT ANSWER ALL, KINDLY ANSWER PART (E) AND
PART(F)
FOR PART (E) THE REGRESSION MODEL IS ALSO GIVE AT THE
END.
REGRESSION MODEL:
We will be returning to the mtcars dataset, last seen in assignment 4. The dataset mtcars is built into R. It was extracted from the 1974 Motor Trend US magazine, and comcaprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973-74 models). You can find...
16. The correlation coefficient p between two variables is -0.63 for a sample of 20 observations....
16. The correlation coefficient p between two variables is -0.63 for a sample of 20 observations. The null hypothesis is Ho : p = 0. Which of the following is a correct conclusion based on the data given? Use the 0.05 significance level. A. Reject the null H. There is a negative association between the variables. B. Do not reject the null Ho. There is a negative association between the variables C. Reject the null Ho. There is a positive...
What is the sample correlation coefficient rxy between xi and yi? Find the 95% confidence interval...
What is the sample correlation coefficient
rxy between xi and
yi?
Find the 95% confidence interval for the regression
coefficient β1.
Test at a 0.05 level of significance to determine
whether the regression coefficient β1 is larger than
20.
- Alternatives
-Decision Rules
-Conclusion
Problem. Gwyneth Paltrow wants to develop a simple linear regression model, X. = Bo + Boxi + Ej, to predict the total sum of money in $1,000) customers withdraw from automatic teller machines (ATMs) on a...
Car Weight (pounds),
x Miles per Gallon, y
1 3,765 19
2 3,984 18
3 3,530 20
4 3,175 22
5 2,580 26
6 3,730 18
7 2,605 25
8 3,772 18
9 3,310 20
10 2,991 24
11 2,752 25
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= -0.97 The...
1. Describe the trend of the data, if any.
2. Calculate the linear correlation coefficient and is the
linear correlation coefficient
significant? Why/why not?
3. Find the least-squares line of regression.
4. Graph the regression line on the scatter plot
5. Plot the residuals (give it your own title and labels for the
axes!) with lines for 2 standard
deviations of the residuals.
6. Predict the gas mileage of a 2000, 3000 and 4000 lb car.
Make a scatter plot...
Question 4 (3 points) The statsmodels ols() method is used on a cars dataset to fit a multiple regression model using Quality as the response variable. Speed and Angle are used as predictor variables. The general form of this model is: Y = Bo + B. Speed+B Angle If the level of significance, alpha, is 0.10, based on the output shown, is Angle statistically significant in the multiple regression model shown above? Select one. OLS Regression Results ==================================== ========== 0.978...
can someone help me with this problem and explain it? :)
Dus f Facebook × | P InSite Con ses/40133/quizzes/84164 Question 15 0/1 pts The following regression analysis is for the miles per gallon a car gets versus the weight of the car. Simple linear regression results: Dependent Variable: Miles Per Gallon Independent Variable: Weight Miles Per Gallon 44.678846 0.0069050641 Weight Sample size: 15 R (correlation coefficient) 0.95024641 R-sq 0.90296824 Estimate of error standard deviation: 1.5357793 What MPG does the...
Please use DataAnalysis
A study was conducted to build a regression model to predict miles per gallon (MPG) of vehicles. To develop the model, you obtained MPG of 43 random vehicles. In addition, you collected the following information - Length: vehicle length (inches) - Width: vehicle width (inches) - Weight: vehicle weight (pounds) - Made in Japan: whether the car is manufactured in Japan or not a. Fit a multiple regression model using all four independent variables. For "made in...
PLEASE ANSWER ALL parts .
IF YOU CANT ANSWER ALL, KINDLY ANSWER PART (E) AND
PART(F)
FOR PART (E) THE REGRESSION MODEL IS ALSO GIVE AT THE
END.
REGRESSION MODEL:
We will be returning to the mtcars dataset, last seen in assignment 4. The dataset mtcars is built into R. It was extracted from the 1974 Motor Trend US magazine, and comcaprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973-74 models). You can find...
16. The correlation coefficient p between two variables is -0.63 for a sample of 20 observations. The null hypothesis is Ho : p = 0. Which of the following is a correct conclusion based on the data given? Use the 0.05 significance level. A. Reject the null H. There is a negative association between the variables. B. Do not reject the null Ho. There is a negative association between the variables C. Reject the null Ho. There is a positive...
What is the sample correlation coefficient
rxy between xi and
yi?
Find the 95% confidence interval for the regression
coefficient β1.
Test at a 0.05 level of significance to determine
whether the regression coefficient β1 is larger than
20.
- Alternatives
-Decision Rules
-Conclusion
Problem. Gwyneth Paltrow wants to develop a simple linear regression model, X. = Bo + Boxi + Ej, to predict the total sum of money in $1,000) customers withdraw from automatic teller machines (ATMs) on a...
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