Purchase Solution

linear regression equation of data

Not what you're looking for?

Ask Custom Question

Given the following data:

Height 71 70.5 71 72 70 70 66.5 70 71
(in)
Weight 125 119 128 128 119 127 105 123 115
(lbs)

Find the value of the y-intercept of the linear regression equation.

Purchase this Solution
Solution Summary

The solution finds out the linear regression equation of the data in detail. It also shows how it is done in Excel.

Purchase this Solution
Free BrainMass Quizzes
Probability Quiz

Some questions on probability

Graphs and Functions

This quiz helps you easily identify a function and test your understanding of ranges, domains , function inverses and transformations.

Solving quadratic inequalities

This quiz test you on how well you are familiar with solving quadratic inequalities.

Exponential Expressions

In this quiz, you will have a chance to practice basic terminology of exponential expressions and how to evaluate them.

Know Your Linear Equations

Each question is a choice-summary multiple choice question that will present you with a linear equation and then make 4 statements about that equation. You must determine which of the 4 statements are true (if any) in regards to the equation.

View More Free Quizzes
Related BrainMass Solutions

  • Linear Regression

    Linear regression gives poor fit to data B. The regression coefficient is -0.9987 correct to four decimal places. C. It would not to be wise to extrapolate the quantity of apples she would sell at a price of £1.80 per kg from these data D.

  • Simple Linear Regression Example

    Finding the equation of linear regression for the given data and obtain the expected salary for an engineer with 45 years of experience.

  • Linear Regression Equation

    199776 Linear Regression Equation Given the following data: Height 71 70.5 71 72 70 70 66.5 70 71 (in) Weight 125 119 128 128 119 127 105 123 115 (lbs) Find the linear regression equation.

  • Statistics - Bivariate Regression

    (b) Multiple regression shares all the assumptions of correlation: linearity of relationships, the same level of relationship throughout the range of the independent variable, interval or near-interval data, absence of outliers, and data whose range is

  • Simple Regressions and Multiple Regressions

    Once we know the prediction equation y=ax+b, we can plug any given value of x to predict the value of y. What is multiple linear regression?

  • Drawing Regression Scatterplots

    Calculate the linear regression equation for each of the situations presented below and draw the regression equation into its scatterplot: a.

  • Simple and Multiple Regression

    The equation of the trendline and the R^2 value for each scatterplot is displayed in the chart. ? 3. Use the regression tools to find simple linear regression models for each independent variable for the Colleges and Universities data.

  • Bivariate data

    The term "best fits" is used because the line has an equation that minimizes the ____ a. total sum of squares b. regression sum of squares c. error sum of squares *by the definition of OLS regression, the line has an equation that minimizes the

  • Correlation and Regression (Descriptive Statistics)

    Finding the Equation of the Regression Line: Use the given data to find the equation of the regression line.

  • Relationship Between Retail Sales and Advertising Dollars

    Obtain a linear regression line for the data.

View More Related Solutions