ZuoTi.Pro
Question

If re.5 between Ads and Sales. In the model Sales- 268 + 7.37 Ads, then Ads explains 50 percent of the variation in Sales True False In the linear regression between Ads and Sales, the p-value of the slope estimate is.042 which is less than a.05; therefore the linear relationship between Ads and Sales is not statistically significant True False

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

The first statement is False because the percentage of variation explained will be r2 i.e. (0.50)2 i.e. 0.25 or 25%.

The second statement is False because if p - value is less than \alpha then we conclude that the linear relationship is statistically significant.

0 0
Add a comment
Know the answer?
Add Answer to:
If re.5 between Ads and Sales. In the model Sales- 268 + 7.37 Ads, then Ads...
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

  • 1. You are examining the relationships between employee sales and characteristics of employees who work in...

    1. You are examining the relationships between employee sales and characteristics of employees who work in a call center. You see that years of previous non-manager work experience has a correlation coefficient of r.35 while years of previous managerial experience has a correlation coefficient of r-42. As compared to previous manager work experience, previous non-manager work experience is more highly correlated with employee sales. True False 2. The correlation between number of Ads run and sales is .6 and it...

  • Classified ads in the local paper offered several used cars of a particular model for sale....

    Classified ads in the local paper offered several used cars of a particular model for sale. The used car ages are measured in years and the advertised selling prices in dollars. Simple linear regression results: Dependent Variable: ad price Independent Variable: age Price_Advertised_($) = 12288.813 - 921.27273 Age_(yr) Sample size: **** R (correlation coefficient) = ****** R-sq = 0.89346768 Estimate of error standard deviation: 1218.3026 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 12288.813 574.62041 ≠ 0...

  • uestion 1: The sales of a company (in million dollars) for each year are shown in...

    uestion 1: The sales of a company (in million dollars) for each year are shown in the table below, identify the linear regression model in the form y=mx+b and report the values of m (slope) and b (intercept) as well as the estimated value of y when the value of x is 10. x (year) 2005 2006 2007 2008 2009 y (sales) 12 19 29 37 45 NOTE: You should consider the value x as the elapsed time. For 2005...

  • Help with some data science questions Q.1 The linear regression model assumes multivariate normality, no or...

    Help with some data science questions Q.1 The linear regression model assumes multivariate normality, no or little multicollinearity, no auto-correlation, and homoscedasticity? Which assumption is missing from this list? (no more than 10 words) Q.2 The coefficient of correlation measures the percent change in the feature variables explained by the target variables. a) True b) False Q.3 In a linear regression model, the coefficient measures the change in Y explained by one unit-change in X. a) True b) False Q4....

  • Suppose you are interested in studying the relationship between education and wage. More specifically, suppose that...

    Suppose you are interested in studying the relationship between education and wage. More specifically, suppose that you believe the relationship to be captured by the following linear regre Wago = A * Education+u Suppose further that you estimate the unknown population Inear regression model by OLS What is the difference between , and,? OA Both. A, and OB. Bon. A, and are true parameters of the population regression line are OLS estimators of true parameters of the population regression line...

  • Question 29 3 pts A correlation of r = 92 is found between weekly sales of...

    Question 29 3 pts A correlation of r = 92 is found between weekly sales of ice cream and the number of shark attacks. Which of the following are true? Check all that apply. Shark attacks cause the ice cream sales to increase. The number of shark attacks is a lurking variable causing an increase in ice cream sales. There is a strong positive relationship between ice cream sales and shark attacks. Weather is a possible lurking variable that is...

  • D Question 7 2 pts Only coefficients with a large standard error can be statistically significant....

    D Question 7 2 pts Only coefficients with a large standard error can be statistically significant. True False D Question 8 1 pts If you estimate a regression model and the R-square is 0.50, how much of the variation in the dependent variable is explained by the independent variables O 10% O 25% 50% О 100%

  • Nce theory, the Capital Asset pricing Model postulates a relationship between the ticular stock a...

    nce theory, the Capital Asset pricing Model postulates a relationship between the ticular stock and the market return" according to the following model: R,Return on asset i, R Return on the market as a whole, The risk-free rate of return. rp An asset's risk premium is the excess of its return over the risk-free rate, therefore this equation premia fluctuate more than one-for-one with the market are called aggressive assets. 1. Use the data provided to you here below to...

  • Consider the following ANOVA table for a multiple regression model. Complete parts a through e be...

    *ANSWERS IN BOX ARE INCORRECT* Consider the following ANOVA table for a multiple regression model. Complete parts a through e below. Source Regression 3 3,600 1200 20 Residual 35 2,100 60 Total df SSMSF 38 5,700 a. What is the size of this sample? n41 b. How many independent variables are in this model? c. Calculate the multiple coefficient of determination. R0.5882 Round to four decimal places as needed.) d. Test the significance of the overall regression model using α=0.05...

  • What is the relationship between the amount of time statistics students study per week and their...

    What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 12 0 3 14 14 9 0 13 10 Score 95 60 73 85 86 89 65 97 93 Find the correlation coefficient: r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are: H0:H0: ? μ ρ r  == 0 H1:H1: ? ρ μ r   ≠≠ 0 The p-value is:    (Round...

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