Purchase Solution

Develop a Linear Regression to Predict MPG

Not what you're looking for?

Ask Custom Question

A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only independent variable.

MPG HORSEPOWER WEIGHT
44 67 1,844
44 50 1,998
40 62 1,752
37 69 1,980
37 66 1,797
34 63 2,199
35 90 2,404
32 99 2,611
30 63 3,236
28 91 2,606
26 94 2,580
26 88 2,507
25 124 2,922
22 97 2,434
20 114 3,248
21 102 2,812
18 114 3,382
18 142 3,197
16 153 4,380
16 139 4,036

State the linear equation,
Explain the overall statistical significance of the model,
Explain the statistical significance for each independent variable in the model
Interpret the Adjusted R2,
Is this a good predictive equation(s)? Which variables should be excluded (if any) and why? Explain.

Purchase this Solution
Solution Summary

The solution develops a linear regression to predict MPG.

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

View More Free Quizzes
Related BrainMass Solutions

  • Miles per Gallon Linear Regression Model

    259311 A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only independent variable.

  • Develop a multiple linear regression model & compare

    A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only independent variable.

  • Solve: Linear Regression Modelling

    Next, we , develop a linear regression model to predict MPG using horsepower as the only independent variable.

  • Describe a regression relationship you think might exist

    You could take a random sample of twenty automobiles, and record the horsepower, weight and MPG. You could develop a linear regression model to predict MPG using horsepower as the only independent variable.

  • Regression analysis for SAT score

    Develop a linear regression model to predict MPG using horsepower as the only independent variable. Develop another model with weight as the independent variable. Which of these two models is better? Explain.

  • Regression Analysis - Using PHStat or Excel

    613800 Regression Analysis - Using PHStat or Excel [1] A research analyst for an oil company wants to develop a model to predict miles per gallon based on highway speed.

  • Regression Models that Predict Selling Price & SAT Scores

    Develop a linear regression model to predict MPG using horsepower as the only independent variable. Develop another model with weight as the independent variable. Which of these two models is better? Explain.

  • linear regression and chi sq

    Given the following data where city MPG is the response variable and weight is the explanatory variable, explain why a regression line would be appropriate to analyze the relationship between these variables: The linear regression line will show the

  • Multiple Regression Equation: Example Problems

    b) A consumer organization wants to develop a regression model to predict gasoline mileage (MPG) based on the horsepower of the car's engine and the weight of the car in (pounds).

View More Related Solutions