Purchase Solution

Regression

Not what you're looking for?

Ask Custom Question

Please see the attached file for full problem description.

---
A popular, nationwide standardized test taken by high-school juniors and seniors may or may not measure academic potential, but we can nonetheless examine the relationship between scores on this test and performance in college.
We have chosen a random sample of fifteen students just finishing their first year of college, and for each student we've recorded her score on this standardized test (from to ) and her grade point average (from to ) for her first year in college. The data are shown below, with denoting the score on the standardized test and denoting the first-year college grade point average. A scatter plot of the data is shown in Figure 1. Also given are the products of the standardized test scores and grade point averages for each of the fifteen students. (These products, written in the column labeled " ," may aid in calculations.)

Standardized test Grade point average, y xy
Score, x
800 2.33 1864
890 2.72 2420.8
1220 2.88 3513.6
830 2.34 1942.2
1070 2.85 3049.5
1240 3.21 3980.4
1120 2.26 2531.2
1000 2.97 2970
1500 3.10 4650
1480 3.50 5180
1300 3.13 4069
1340 3.78 5065.2
1400 2.88 4032
1000 2.37 2370
940 2.24 2105.6

Answer the following. Carry your intermediate computations to at least four decimal places, and round your answer as specified below

1. What is the value of the slope of the least squares regression line for these data? Round your answer to at least four decimal places.

Attachments
Purchase this Solution
Solution Summary

The solution answers the question(s) below.

Solution provided by:
Amrit Lal Ahuja, PhD (IP)
Education
  • BEng, Allahabad University, India
  • MSc , Pune University, India
  • PhD (IP), Pune University, India
Recent Feedback
  • " In question 2, you incorrectly add in the $3.00 dividend that was just paid to determine the value of the stock price using the dividend discount model. In question 4 response, it should have also been recognized that dividend discount models are not useful if any of the parameters used in the model are inaccurate. "
  • "feedback: fail to recognize the operating cash flow will not begin until the end of year 3."
  • "Answer was correct"
  • "Great thanks"
  • "Perfect solution..thank you"
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

  • Simple regression using p-value approach

    0.9868 Regression 24 0.6972 Regression 5 0.1257 Regression 15 0.1121 Regression 25 0.7370 Regression 6 0.8685 Regression 16 0.0630 Regression 26 0.5289 Regression 7 0.7201 Regression 17 0.4987 Regression 27 0.3290 Regression 8 0.8586 Regression 18

  • The Difference Between Standardized and Regular Regression Coefficient

    regression line.

  • Simple Linear Regression and Multiple Regression.

    357632 Simple Linear Regression and Multiple Regression. Simple Linear Regression and Multiple Regression. I'd like to ask whether you think multiple regression (the use of more IV's) is always better than simple regression? Why or why not?

  • Example of Bivariate Regression

    335958 Example of Bivariate Regression There is bivariate regression and multiple regression. Provide a business example that you can apply regression to.

  • Develop a multiple linear regression model & compare

    414052 Develop a multiple linear regression model and explain how does this compare with simple regression. Develop a multiple linear regression model.

  • Regression analysis

    169124 Suppose a regression output produces the following 99% confidence interval for one regression coefficients Suppose a regression output produces the following 99% confidence interval for one regression coefficients: [-32.47,-16.88] Given this

  • Statistics - Bivariate Regression

    This makes multiple regression as easy to handle as bivariate regression.

  • Understanding Regression: Linear Regression, Multiple Regression

    655714 Understanding Regression: Linear Regression, Multiple Regression Part 1 - Understanding Regression Terminology Create a handout for students in an introductory statistics course which summarizes the following regression terms (in your own words

  • Simple and Multiple Regression

    Multiple Regression Analysis * The multiple regression analysis was done similarly as the simple regression analysis (Tools --> Data Analysis --> Regression), but multiple columns of independent variables were entered.

  • Business and Regression Analysis

    The regression output is shown on Regression output sheet. Regression equation is: Science Score = 19.48 +0.8136*Maths Score 3.

View More Related Solutions