Question

Ten sales regions of equal sales potential for a company were randomly selected. The advertising expenditures...

Ten sales regions of equal sales potential for a company were randomly selected. The advertising expenditures (in units of $10,000) in these 10 sales regions were purposely set during July of last year at, respectively, 5, 6, 7, 8, 9, 10, 11, 12, 13 and 14. The sales volumes (in units of $10,000) were then recorded for the 10 sales regions and found to be, respectively, 107, 130, 129, 123, 117, 97, 116, 130, 113, and 118. Assuming that the simple linear regression model is appropriate, it can be shown that b0 = 121.2242, b1 = -.3394.

Find a 95 percent confidence interval for the slope β1 of the simple linear regression model describing the sales volume data. (Do not round intermediate calculations. Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

  The 95 percent confidence interval for β1 = [, ]

Homework Answers

Answer #1

The statistical software output for this problem is:

From above output, 95% confidence interval will be:

[-3.201, 2.522]

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
How to find mean squared error from given information? The data in the table were collected...
How to find mean squared error from given information? The data in the table were collected from n = 10 home sales. Property appraisers used the data to estimate the population regression model of E(Sales Price) = b0 + b1(Home Size), where Sales Price (in thousands of dollars) Home Size (in hundreds of square feet) Sales Price Home Size 160 23 132.7 11 157.7 20 145.5 17 147 15 155.3 21 164.5 24 142.6 13 154.5 19 157.5 25 The...
10 states comparable in size, wealth, and purchasing powers were selected to investigate the effect of...
10 states comparable in size, wealth, and purchasing powers were selected to investigate the effect of marketing expenditures on sales of televisions. For each state, the marketing expenditure X-thousands of dollars and the sales Y-units sold are shown below: Marketing expenditure sales 4.9 27 8.8 42 2.1 16 7.6 35 4.4 33 3.5 28 7.0 40 10.1 43 5.6 35 3.0 21 Determine the regression equation for predicting sales from expenditure. Construct the 99 percent confidence interval for the slope...
6. (07.04 MC) Students at a local elementary school were randomly selected to participate in a...
6. (07.04 MC) Students at a local elementary school were randomly selected to participate in a reading fluency program. The program is designed to increase their reading fluency. A total of 17 students each took a pretest before the program and posttest after the program. The mean differences in the posttest and pretest is 11. The administration decided that all students in the school would participate in the program next school year. Let µA denote the mean score of the...
1.    In a multiple regression model, the following coefficients were obtained: b0 = -10      b1 =...
1.    In a multiple regression model, the following coefficients were obtained: b0 = -10      b1 = 4.5     b2 = -6.0 a.    Write the equation of the estimated multiple regression model. (3 pts) b     Suppose a sample of 25 observations produces this result, SSE = 480. What is the estimated standard error of the estimate? (5 pts) 2.    Consider the following estimated sample regression equation: Y = 12 + 6X1 -- 3 X2 Determine which of the following statements are true,...
Open Three Hospitals data. SETUP: It is believed that the number of injuries recorded in hospital...
Open Three Hospitals data. SETUP: It is believed that the number of injuries recorded in hospital 1 is different from the number of injuries recorded in hospital 2. Given the data your job is to confirm or disprove this assertion. 10. What test/procedure did you perform? (4 points) a. Regression b. Two sided t-test c. One sided t-test d. Confidence Interval 11. What is the statistical interpretation? (4 points) a. Average of data is inconsistent with the claim b. P-value...
The data set entitled ‘Salmon’ contains 40 annual counts of the numbers of recruits and spawners...
The data set entitled ‘Salmon’ contains 40 annual counts of the numbers of recruits and spawners in a salmon population. The units are thousands of fish. Recruits are fish that enter the catchable population. Spawners are fish that are laying eggs. Spawners die after laying eggs. The classic Beaverton-Holt model for the relationship between spawners and recruits is R = 1 /(β1 + β2/S) where R and S are the numbers of recruits and spawners, respectively. This model may be...
Actually, both parts 1.a. AND 1.b. should treat Sheerluck's data as if they were the SAME...
Actually, both parts 1.a. AND 1.b. should treat Sheerluck's data as if they were the SAME measurements on two samples of 5 DIFFERENT constables, and it is part 1.c. that should treat the data the way I intended when I wrote t he problem, that they be two DIFFERENT measurements on the SAME set of constables. Note from teacher! Brightly blarney but blissfully blas´e bloodhound Sheerluck Hopeless has trained herself to recognize at a glance suspect heights and weights. From...
Actually, both parts 1.a. AND 1.b. should treat Sheerluck's data as if they were the SAME...
Actually, both parts 1.a. AND 1.b. should treat Sheerluck's data as if they were the SAME measurements on two samples of 5 DIFFERENT constables, and it is part 1.c. that should treat the data the way I intended when I wrote t he problem, that they be two DIFFERENT measurements on the SAME set of constables. Note from teacher! Brightly blarney but blissfully blas´e bloodhound Sheerluck Hopeless has trained herself to recognize at a glance suspect heights and weights. From...
Suppose that a local chapter of sales professionals in the greater San Francisco area con- ducted...
Suppose that a local chapter of sales professionals in the greater San Francisco area con- ducted a survey of its membership to study the relationship, if any, between the years of experience and salary for individuals employed in inside and outside sales positions. On the survey, respondents were asked to specify one of three levels of years of experience: low (1–10 years), medium (11–20 years), and high (21 or more years). A portion of the data obtained follows. The complete...
Part C: Regression and Correlation Analysis Use the dependent variable (labeled Y) and the independent variables...
Part C: Regression and Correlation Analysis Use the dependent variable (labeled Y) and the independent variables (labeled X1, X2, and X3) in the data file. Use Excel to perform the regression and correlation analysis to answer the following. Generate a scatterplot for the specified dependent variable (Y) and the X1 independent variable, including the graph of the "best fit" line. Interpret. Determine the equation of the "best fit" line, which describes the relationship between the dependent variable and the selected...