Question

In: Statistics and Probability

We are interested in exploring the relationship between the weight of a vehicle and its fuel...

We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles.

Weight Fuel
Efficiency
2670 25
2570 24
2630 29
2760 38
3000 25
3410 24
3640 21
3700 26
3880 21
3900 18
4060 18
4710 17

Find the correlation coefficient.

Find the equation of the best fit line. (Round your answers to four decimal places.)

What percent of the variation in fuel efficiency is explained by the variation in the weight of the vehicles, using the regression line? (Round your answer to the nearest whole number.

For the vehicle that weighs 3000 pounds, find the residual

(yŷ).

(Round your answer to two decimal places.)

Remove the outlier from the sample data. Find the new correlation coefficient and coefficient of determination. (Round your answers to two decimal places.)

correlation coefficient     
coefficient of determination

Find the new best fit line. (Round your answers to four decimal places.)

Solutions

Expert Solution

The correlation between weight and fuel efficiency is -0.73. i.e. Fuel efficiency and weight is moderately negatively correlated.


Related Solutions

We are interested in exploring the relationship between the weight of a vehicle and its fuel...
We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2710 24 2570 27 2620 29 2750 38 3000 23 3410 24 3640 21 3700 27 3880 22 3900 19 4060 18 4710 15 e.) What percent of the variation in fuel efficiency is...
We are interested in exploring the relationship between the weight of a vehicle and its fuel...
We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2715 26 2520 24 2630 29 2790 38 3000 23 3410 25 3640 21 3700 27 3880 21 3900 19 4060 21 4710 15 Part (b) r = -0.71 (correlation coefficient). Yes, it is...
We are interested in exploring the relationship between the weight of a vehicle and its fuel...
We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. g.)For the vehicle that weighs 3000 pounds, find the residual (y − ŷ). (Round your answer to two decimal places.) _________ I.)Remove the outlier from the sample data. Find the new correlation coefficient and coefficient of determination....
Q6). We are interested in exploring the relationship between the weight of a vehicle and its...
Q6). We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2710 24 2550 24 2680 29 2720 38 3000 25 3410 22 3640 21 3700 27 3880 21 3900 19 4060 21 4710 16 Part (a) Graph a scatterplot of the data. Part...
Data We are interested in exploring the relationship between the weight of a vehicle and its...
Data We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of vehicles. Note the units here are pounds and miles per gallon. Weight (pounds) Fuel Efficiency (miles per gallon) 2695 25 2510 27 2680 29 2730 38 3000 25 3410 23 3640 21 3700 27 3880 21 3900 19...
An endocrinologist was interested in exploring the relationship between the level of a steroid (Y) and...
An endocrinologist was interested in exploring the relationship between the level of a steroid (Y) and age (X) in healthy subjects whose ages ranged from 8 to 25 years. She collected a sample of 27 healthy subject in this age range. The data is located in the file problem01.txt, where the first column represents X = age and the second column represents Y = steroid level. For all R programming, print input and output codes and values. (a) Read the...
We are interested in examining the relationship between the number of calories people consume and weight....
We are interested in examining the relationship between the number of calories people consume and weight. We randomly selected 200 people and presented the data with explanatory (x) variable being the calories consumed and the response (y) variable being their weight. Regression analysis will be good for this problem because it helps us find trends in data and quantify the results. It can also help us make predictions about data. So as long as the requirements are met for inference...
We are interested in predicting the fuel efficiency (gasoline mileage in mpg) using the weight of...
We are interested in predicting the fuel efficiency (gasoline mileage in mpg) using the weight of a vehicle in pounds. A random sample of 12 vehicles is taken. The Excel output is given below. Use the output and the fact that R2 = 0.640 to answer the following questions. Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 48.409 5.978 8.098 0.000 35.089 61.728 Weight -0.006 0.002 -4.214 0.002 -0.010 -0.002 Interpret the slope in context. Find and...
You’re a beer brewer and you’re interested in whether there is a relationship between the weight...
You’re a beer brewer and you’re interested in whether there is a relationship between the weight of grains used to brew the beer, and the percent alcohol of the beer. You record your data below of your homebrew. (3 points) Weight of Grains Alcohol Percentage 9.9 4.3 10.3 4.5 9.8 6.1 9.1 4.5 10.3 5.1 11.1 6.3 10.8 5.8 11.3 4.6 9.9 11.2 10.6 9.2 10.3 4.9 11.4 5.4 11.9 6.3 11.6 5.2 10.8 10 9.4 9.3 10.5 6.5 11...
We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms...
We are interested in the relationship between the compensation of Chief Executive Officers (CEO) of firms and the return on equity of their respective firm, using the dataset salary.xlsx. The variable salary shows the annual salary of a CEO in thousands of dollars, so that y = 150 indicates a salary of $150,000. Similarly, the variable ROE represents the average return on equity (ROE)for the CEO’s firm for the previous three years. A ROE of 20 indicates an average return...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT