Question

In a simple linear regression analysis attempting to link lottery sales (y) to jackpot amount (x),...

In a simple linear regression analysis attempting to link lottery sales (y) to jackpot amount (x), the following data are available:

x

y

jackpot

($millions)

Sales

(millions)

12

60

14

70

6

40

8

50

The slope (b) of the estimated regression equation here is 3.5. The intercept (a) is 20. Produce the 95% confidence interval estimate of the population slope, β, and report the upper bound for the interval.

a)5.02

b)4.66

c)7.23

d)3.72

Homework Answers

Know the answer?
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
Similar Questions
The following data have been collected for a simple linear regression analysis relating sales (y) to...
The following data have been collected for a simple linear regression analysis relating sales (y) to price (x): x y Price     ($) Sales (units) 4 120 7 60 5 100 8 80 In applying the least squares criterion, the slope (b) and the intercept (a) for the best-fitting line are b = -12 and a = 162. You are to conduct a hypothesis test to determine whether you can reject the null hypothesis that the population slope, β, is 0...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated average predicted value, X – predictor, Y-intercept (b1), slope (b0) B. Y - estimated average predicted value, X – predictor, Y-intercept (b0), slope (b1) C. X - estimated average predicted value, Y – predictor, Y-intercept (b1), slope (b0) D. X - estimated average predicted value, Y – predictor, Y-intercept (b0), slope (b1) The slope (b1) represents A. the estimated average change in Y per...
1. Suppose (X, Y) take on values {(1,10),( 3,11),( 8,9),( 4,15),( 7,20)}. Construct a simple linear...
1. Suppose (X, Y) take on values {(1,10),( 3,11),( 8,9),( 4,15),( 7,20)}. Construct a simple linear regression model treating Y as the dependent variable, the LSE of the intercept 2.Suppose you construct a simple linear regression model. Using 5 observations the LSE of the slope is calculated as -0.3 with associated standard error .86. Now you wish to test  versus  at the 0.05 significance level. The test statistic is
Suppose a simple linear regression analysis generates the following equation: y = 10 + 15*X X...
Suppose a simple linear regression analysis generates the following equation: y = 10 + 15*X X = amount in dollars spent on advertising Y = amount dollar of sales Which of the following is the correct interpretation of these results? If none of these then select “none”. a) none of these b)$1 increase in advertising would generate an estimated increase of $15 in sales c)$1 increase in advertising would generate an estimated increase of 10 + 15 (= $25) in...
Consider the simple linear regression model y=10+30x+e where the random error term is normally and independently...
Consider the simple linear regression model y=10+30x+e where the random error term is normally and independently distributed with mean zero and standard deviation 1. Do NOT use software. Generate a sample of eight observations, one each at the levels x= 10, 12, 14, 16, 18, 20, 22, and 24. Do NOT use software! (a) Fit the linear regression model by least squares and find the estimates of the slope and intercept. (b) Find the estimate of ?^2 . (c) Find...
The output below is from a study that used multiple linear regression analysis to link dependent...
The output below is from a study that used multiple linear regression analysis to link dependent variable y to x1 and x2.The sample consisted of 28 observations.    Coeff Std Error t Stat P-value Intercept 85 34.10 2.493 .0196 b1 -1.2 .88 -1.364 .1847 b2 3.5 1.12 3.125 Use the appropriate t tests to determine which, if any, of the individual coefficients are statistically significant at the 5% significance level. Report your conclusion. CHoose from A,B,C, and D below A)...
The general manager of a chain of pharmaceutical stores reported the results of a regression analysis,...
The general manager of a chain of pharmaceutical stores reported the results of a regression analysis, designed to predict the annual sales for all the stores in the chain (Y) – measured in millions of dollars. One independent variable used to predict annual sales of stores is the size of the store (X) – measured in thousands of square feet. Data for 14 pharmaceutical stores were used to fit a linear model. The results of the simple linear regression are...
Read Chapter 4 in eText and view all resource material. 1. Simple linear regression looks at...
Read Chapter 4 in eText and view all resource material. 1. Simple linear regression looks at the relationship between an independent and a dependent variable. Give a real-world example of two variables that have this special relationship. 2. Complete the following assignment: See attached Excel file that displays the relationship between the annual revenue in millions (x variable) and the current value in millions (y variable) of 30 professional basketball teams.   Press SCATTERPLOT tab on bottom ribbon to see the...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT