Question

In questions 4-7, use the following printout of the linear regression relating the age in days...

In questions 4-7, use the following printout of the linear regression relating the age in days of 30 randomly selected babies under the age of 2 and their weights in pounds:

Does this analysis provide support for rejecting the null hypothesis that the slope of the regression line is 0 at the 5% level of significance? Why is this?

No, the slope in this analysis is less than 0.95.

Yes, the P-value for the slope in the analysis is shown as 0.

Yes, the P-value for the slope in the analysis is less than the significance level of 0.05.

Yes, this analysis shows that the true regression slope must be 0.842 with more than 95% certainty.

No, the test statistic for the significance test is too small to meet the stated level of significance.

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Yes, the P-value for the slope in the analysis is less than the significance level of 0.05

This is correct option

Add a comment
Know the answer?
Add Answer to:
In questions 4-7, use the following printout of the linear regression relating the age in days...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

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
  • A regression model relating 3, number of salespersons at a branch office, to y, annual sales...

    A regression model relating 3, number of salespersons at a branch office, to y, annual sales at the office in thousands of dollars) provided the following computer output from a regression analysis of the data. Where ntotal = 32. ANOVA df MSF Significance F SS 6863.5 Regression Residual Total 9342.6 Stat P-value Intercept Number of Salespersons Coefficients 88.0 54.0 Standard Errort 12.175 5.865 a. Write the estimated regression equation (to whole number). y= Xx b. Compute the F statistic and...

  • A regression model relating 2, number of salespersons at a branch office, to y, annual sales...

    A regression model relating 2, number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following computer output from a regression analysis of the data. Where Miotal = 30. 0 ANOVA 0 MSF Significance F SS 6361.5 Regression Residual Total 8844.6 P-value 85.0 5.418 Coefficients Standard Error Stat Intercept 10.553 Number of 43.0 Salespersons a. Write the estimated regression equation (to whole number). y= + b. Compute the F statistic...

  • A regression model relating number of salespersons at a branch office, to y, annual sales at...

    A regression model relating number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following computer output from a regression analysis of the data. Where th =26. ANOVA SS MS F Significance F u Significance Regression Residual Total 8756.4 p-value 510 s.com Coefficients Standard Error Stat Intercept 7 7.0 10.723 Number of 5.609 Salespersons Write the estimated regression equation (to whole number). V= b. Compute the statistic and test the...

  • A regression model relating x, number of salespersons at a branch office, to y, annual sales...

    A regression model relating x, number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following computer output from a regression analysis of the data. Where n total=26. a. Write the estimated regression equation (to whole number). y=_____+_____x b. Compute the F statistic and test the significance of the relationship at a .05 level of significance. (to 2 decimals) F-value ____ p-value is _______, we _________ h0 c. Compute the...

  • Question 3 (3 points) The table below shows the regression results when calculating the least squares...

    Question 3 (3 points) The table below shows the regression results when calculating the least squares line of regression relating variable x (predictor) to variable y (response): Intercept Coefficients 0.083 1.417 Standard Error 3.56 0.63 t Star 0.02 2.25 P-value 0.9822 0.0745 Does variable x share a statistically significant linear relationship with variable y at the 5% significance level? Yes, since the p-value of 0.0745 is greater than 0.05. Yes, since the slope coefficient of 1.417 is less than the...

  • please help! Following is a simple linear regression model: y = a + A + &...

    please help! Following is a simple linear regression model: y = a + A + & The following results were obtained from some statistical software. R2 = 0.523 Syx (regression standard error) = 3.028 n (total observations) = 41 Significance level = 0.05 = 5% Variable Interecpt Slope of X Parameter Estimate 0.519 -0.707 Std. Err. of Parameter Est 0.132 0.239 Note: For all the calculated numbers, keep three decimals. Write the fitted model (5 points) 2. Make a prediction...

  • The following multiple regression printout can be used to predict a person's height (in inches) given...

    The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females. Regression Analysis: Height Versus Shoe Size, Gender Coefficients Term Coef SE Coef T-Value P-Value Constant 55.26 1.04 53.13 0.000 Shoe Size 1.166 0.15 0.000 Gender 2.574 0.486 5.30 0.000 Find the value of the test statistic for shoe size. (Round your answer to two decimal places.) t...

  • ' - [2 marks] Suppose that we want to find a regression equation relating systolic blood...

    ' - [2 marks] Suppose that we want to find a regression equation relating systolic blood pressure (v) to weight (x1), age (x2) and smoking status (0 = does not smoke, 1 = smokes less than one pack per day, 2 = smokes one or more packs per day). Use the Minitab outputs below to test whether or not the smoking status variable adds to the predictive value of a model which already contains weight and age, using a =...

  • The following multiple regression printout can be used to predict a person's height (in inches) given...

    The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females. Regression Analysis: Height Versus Shoe Size, Gender Coefficients Term Coef SE Coef T-Value P-Value Constant 55.28 1.07 51.66 0.000 Shoe Size 1.164 0.14 0.000 Gender 2.571 0.485 5.30 0.000 (a) Find the value of the test statistic for shoe size. (Round your answer to two decimal places.)...

  • 7. A doctor w ted to determine whether there is a relation between a male's age...

    7. A doctor w ted to determine whether there is a relation between a male's age and his HDL (so called good) cholesterol. The doctor randomly selected 17 of his patients and determined the HDL cholesterol. The data obtained by the doctor is the in the datatable below. Complete parts (a) through (below Click the icon to vew the data obtained by the doctor (a) Draw a scatter diagram of the data, treating age as the explanatory variable What type...

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
ADVERTISEMENT