Question

A consumer magazine listed the price in dollars) and power (in cold cranking amps) of auto batteries. A test is run to determ

c) Is there evidence of a linear association between the cost and cranking power of auto batteries that means more expensiveWhat do you conclude? O A. Fail to reject Ho. These data provide evidence of a linear relationship between cost and power. OBDependent variable is: Power R-squared = 38.0% s = 111.1 with 19 -2 = 17 degrees of freedom Variable Coefficient Intercept 32

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

Solutionc:

H0:no relationship between cost and power B1 = 0

Ha:there exists a relationship between cost and power 0718

OPTION D

t=3.230

p=0.0049

p<0.05

Reject Ho.The data provide evidence of a linear relationship between cost and power

MARK OPTION D

Solution-d"
R sq=38.0%

only 38% variation in power is explained by cost

very less

No the association is not strong,because the value of R sq is only 38%.This low value of R sq and high value of s,111.1 indicates that most of the variation is not explained by this regression.

MARK OPTION C

Solution-e

power=327.162+4.74096*cost

Add a comment
Know the answer?
Add Answer to:
A consumer magazine listed the price in dollars) and power (in cold cranking amps) of auto...
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 e site isted the battery lfe (in hors and uminous intensity screen Click the icon to view the technology oupt trees i...

    A e site isted the battery lfe (in hors and uminous intensity screen Click the icon to view the technology oupt trees in cd m" or в sa ple of tablet computers Researchers want to kno it screen b htness is associated m banery ife Use the technology output en bel 10 ans er oar s a) through g a) How many teblet computers were tested? Technology Outout b) Are the condtions for interence tise? Explain. Select al cond tions...

  • An agency examined the relationship between the ozone level (in parts per million or ppm) and the population (in D...

    An agency examined the relationship between the ozone level (in parts per million or ppm) and the population (in Dependent variable is: Ozone millions) of cities. Part of the regression analysis is shown to the right. Complete parts a and b below. R squared-84.3% s 5.418 with 16-2 14 df Coeff 18.162 6.501 SE(Coeff) 2.098 2.093 Variable Intercept Population a) It is-suspected that the greater the population of a city, the higher its ozone level. Is the relationship statistically significant?...

  • last year paper , solve Use the following for questions 26-33 The following output is a...

    last year paper , solve Use the following for questions 26-33 The following output is a multiple linear regression analysis used to model a general respanse variable with several explanatory variables (n 104) Scatterplot Matrix response 26. Which statement is FALSE from the scatterplot x.1 matrix? x.2 o There is a strong linear relationship between x.2 and x.3. x.3 o The variable x.3 is categorical variable. O There is strong negative association between x.2 and the response. O There are...

  • The following output is a regression of hourly EARNINGS on HEIGHT. a. Create a 99% confidence...

    The following output is a regression of hourly EARNINGS on HEIGHT. a. Create a 99% confidence interval for the slope coefficient B1 and interpret it. b. Is the slope coefficient on HEIGHT statistically significant at a level of significance of 1%? c. Years of schooling S also affects EARNINGS but has not been added to the regression. Where does the effect of Soccur in this regression output? SUMMARY OUTPUT Regression Statistics Multiple R 0.241124399 R Square 0.058140976 Adjusted R Square...

  • Consider the following data on x = rainfall volume (m3) and y = runoff volume (m)...

    Consider the following data on x = rainfall volume (m3) and y = runoff volume (m) for a particular location. x 5 12 14 17 23 30 40 48 55 67 72 83 96 112 127 y | 4 10 13 14 15 25 27 47 38 46 53 75 82 99 103 Use the accompanying Minitab output to decide whether there is a useful linear relationship between rainfall and runoff. The regression equation is runoff = -1.72 + 0.845...

  • Question 5: reject or do not reject Question 6: 0.10, 0.05, and 0.01; 0.10, 0.05, 0.01,...

    Question 5: reject or do not reject Question 6: 0.10, 0.05, and 0.01; 0.10, 0.05, 0.01, and 0.001; 0.10 only; none no, some, strong, very strong, extremely strong Using the appropriate model, sample size n, and output below: Model: y = 8 + 81X1 + 82X2 + 83x3 + € Sample size: n = 16 S = .7727 Sq = 88.6% Sq(adj) = 84.0% Analysis of Variance Source DF Regression 2 Residual Error 5 Total 7 F P 19.48 0.0044...

  • Drop down options are durability, impact properties, shock absorbing capabilities, the two independent variables. A regression...

    Drop down options are durability, impact properties, shock absorbing capabilities, the two independent variables. A regression analysis is performed to predict the durability of a brand of running shoe, based on the shock-absorbing capability and the change in impact properties over time. The resulting ANOVA table is below. Complete parts (a) through (d). Degrees of Sum of Freedom Squares Regression Error Total 10.45577 6.46314 16.91891 Mean Square 5.22789 0.28101 p-value 0.00002 18.60 2 23 25 a. Determine whether there is...

  • I don't need part C. but ONLY PART B, and the Test Statistic and P value written at the bottom.

    I don't need part C. but ONLY PART B, and the Test Statistic and P value written at the bottom. Mist (airborne droplets or aerosols) is generated when metal-removing fluids are used in machining operations to cool and lubricate the tool and workpiece. Mist generation is a concern to OSHA, which has recently lowered substantially the workplace standard. An article gave the accompanying data on x = fluid-flow velocity for a 5% soluble oil (cm/sec) and y the extent of...

  • Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and...

    Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 14 4 17 5 20 6 27 7 17 8 31 9 27 Ho: ρ = 0 Ha: ρ > 0 Find the Linear Correlation...

  • Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and...

    Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 19 4 27 5 23 6 30 7 17 8 24 9 20 Ho: ρ = 0 Ha: ρ > 0 a. Find the Linear...

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