Question

Alumni Contributions The director of an alumni association for a small college wants to determine whether...

Alumni Contributions The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus's contribution (in dollars) and the number of years the alumnus has been out of school. The data follow. The regression line equation is =y′−548.27678.017x. The correlation coefficient is =r−0.977. Compute the standard error of the estimate rounded to at least two decimal places, if appropriate. Assume =α0.01

.

Years,

x

1

5

3

7

6
Contribution,

y

500

100

300

50

75
Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
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
Similar Questions
The director of an alumni association wants to determine whether there is any type of relationship...
The director of an alumni association wants to determine whether there is any type of relationship between the amount of an alumni's contribution (in dollars) and the number of years the alumnus has been out of school. Based on the data below, decide if the correlation between the number of years and the amount of the contribution is significant at the alpha value of 0.05. Years x 1 3 5 10 6 9 Contribution y 640 290 170 45 70...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (X) and the amount of fire damage, in thousands of dollars (Y). The MegaStat output is reported below.   ANOVA table...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table...
1. Marcus wants to determine how age and weight are related to exercise preference in his...
1. Marcus wants to determine how age and weight are related to exercise preference in his town. He selects a simple random sample of 75 overweight individuals from the 25- to 35-year age group and records their age, weight, and exercise preference (sports, Pilates/yoga, dancing, none). He also selects an independent simple random sample of 50 normal-weight individuals from the 40- to 50-year age group and records the same information. Which is the most important observation about Marcus's plan? a....
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the...
Waterbury Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table...
1. For a pair of sample x- and y-values, what is the difference between the observed...
1. For a pair of sample x- and y-values, what is the difference between the observed value of y and the predicted value of y? a) An outlier b) The explanatory variable c) A residual d) The response variable 2. Which of the following statements is false: a) The correlation coefficient is unitless. b) A correlation coefficient of 0.62 suggests a stronger correlation than a correlation coefficient of -0.82. c) The correlation coefficient, r, is always between -1 and 1....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT