HomeworkLib
Question

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and...

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). Σx = 90 Σ(y - )(x - ) = 466 Σy = 170 Σ(x - )2 = 234 n = 10 Σ(y - )2 = 1434 ​ The F-statistic is Question 37 options: a18.341 b1.834 c14.673 dNone is correct.

math   Statistics-And-Probability   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1
SSx=Σx2-(Σx)2/n= 234
SSy=Σy2-(Σy)2/n= 1434
SP=Σxy-(ΣxΣy)/n= 466
SST=Syy= 1434
SSE =Syy-(Sxy)2/Sxx= 505.9829
SSR =(Sxy)2/Sxx = 928.0171
Source SS df MS F
regression 928.02 1 928.017 14.6727
error 505.98 8 63.248
total 1434.00 9

from above:F statistic =14.673

0 0
Add a comment
Know the answer?
Add Answer to:
A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • The following information regarding a dependent variable Y and an independent variable X is provided n...

    The following information regarding a dependent variable Y and an independent variable X is provided n = 4 ΣX = 90 ΣY = 340 Σ (Y - )(X - ) = -156 Σ (X - )2 = 234 Σ (Y - )2 = 1974 SSR = 104 The sum of squares due to error (SSE) is?

  • Part of an Excel output relating 15 observations of X (independent variable) and Y (dependent variable)...

    Part of an Excel output relating 15 observations of X (independent variable) and Y (dependent variable) is shown below. Provide the values for a-e shown in the table below. (See section 15.5) Summary Output ANOVA df SS MS F Significance F Regression 1 2.7500 -d- -e- 0.632 Residual -a- -b- 11.45 Total 14 -c- A Company has recorded data on daily demand for its product (y in thousands of units) and the unit price (x in hundreds of dollars). A...

  • Case 1 The following information regarding a dependent variable Y and an independent variable X is...

    Case 1 The following information regarding a dependent variable Y and an independent variable X is provided. ZX-16 Σ(X-x)(Y-Y) SST-42 n=4 SSE 34 Refer to case 1. The slope of the regression function is 0.1 Refer to case 1. The slope of the regression function is Refer to case 1. The slope of the regression function is Refer to case 1. The slope of the regression function is -1 Refer to Case 1. The Y intercept is 0.1 Refer to...

  • The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is...

    The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided. Y Dependent Variable 15 17 23 17 I. The least-squares estimate of the slope equals: II. The least-squares estimate of the intercept equals: III. If the independent variable increases by 2 units, the dependent variable is expected to a. decrease by $300 b. decrease by $3000 c. decrease by $3 d. decrease by $2 e. none of the above      The letter corresponding...

  • The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is...

    The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided. Y Dependent Variable 15 17 23 17 I. The least-squares estimate of the slope equals: II. The least-squares estimate of the intercept equals: III. If the independent variable increases by 2 units, the dependent variable is expected to a. decrease by $300 b. decrease by $3000 c. decrease by $3 d. decrease by $2 e. none of the above      The letter corresponding...

  • In a regression analysis, the variable that is used to predict the dependent variable a. is...

    In a regression analysis, the variable that is used to predict the dependent variable a. is the independent variable b. must have the same units as the variable doing the predicting c. is the dependent variable d. usually is denoted by x

  • The following information regarding a dependent variable (y) and an independent variable (x) is provided.                         y&nb

    The following information regarding a dependent variable (y) and an independent variable (x) is provided.                         y          x                         2         9 4   7 5 6                         5         4 7 5 8 1 Determine the least squares estimate of the y-intercept, slope, and coefficient of determination (?2).

  • Section B: Long Questions - - B1: The following information regarding a dependent variable Y and...

    Section B: Long Questions - - B1: The following information regarding a dependent variable Y and an independent (SD1: 10 marks] variable X is provided EX= 180 EY=680 (Y - Y)(X-X) = -312 (X-X)2 - 468 (Y - Y)2 - 3,948 SSR - 208 n=4 Required: 1. Compute the total sum of squares (SST). (2 marks) 2. Compute the sum of squares due to error (SSE) (2 marks) 3. Compute the mean square error (MSE). (2 marks) 4. Compute the...

  • The equation of the regression line between two variables x (independent variable) and y (dependent variable)...

    The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by y-hat = -3x + 2; and the correlation coefficient is r = -.95. The possible x-values range from 1 to 10. Which of the following statements are correct? I. The variable y is strongly positive correlated to the variable x. II. The variable y is strongly negative correlated to the variable x. III. If x = 5, one would predict that...

  • Correlation &Regression

    Considering \(Y\) as a dependent variable, a regression model is applied with three independent variables \(\mathrm{X} 1 \mathrm{X} 2\) and \(\mathrm{X} 3 .\) The results of the regression analysis are shown below:Answer the following:1. Define \(\mathrm{R}\) and \(\mathrm{R}\) Square.2. What is the significance of \(\mathrm{F}\) test.3. Which variable has the highest impact on Y.4. Write the regression equation.5. Calculate \(Y\) if \(X_{1}=10, X_{2}=20\) and \(X_{3}=5\)

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT