Question

In: Accounting

a. If they are going to run a linear regression, identify which variable should be the independent variable and which should be the dependent variable in a regression equation.

In seeking to determine how influential advertising is, the management of a recently established retail chain collected data on sales revenue and advertising expenditure from its' stores over the last ten (10) weeks. The table below shows the data collected: Advertising Expenditure ($ 000) Sales ($ 000) 3 5 76 50 250 700 450 3.5 75 4 150 4.5 7 200 750 7.5 800 8.5 1,100

a. If they are going to run a linear regression, identify which variable should be the independent variable and which should be the dependent variable in a regression equation.

b. Estimate the slope and intercept coefficients of the linear regression model. G if advertising expenditure is equal to $9,000, estimate the total sales income.

Solutions

Expert Solution


Related Solutions

Which variable should be the dependent variable and which should be the independent variable? Why? Plot...
Which variable should be the dependent variable and which should be the independent variable? Why? Plot the points on the scatterplot graph. NOTE: In a scatterplot the x axis will always reflect 1, 2, 3… not the Quarters specifically. Label both axes with words. In order to analyze the data we will use the line of best fit. Answer with 1-3 complete sentences. Does the line seem to fit the data? Why? Calculate the following use excel trendline: y-intercept to...
What type of relationship between a dependent and independent variable is described by linear regression? A....
What type of relationship between a dependent and independent variable is described by linear regression? A. An exponential relationship B. A parabolic relationship C. A threshold effect D. A linear relationship
In a multi linear regression case study, the dependent variable is house_value, the independent variables are...
In a multi linear regression case study, the dependent variable is house_value, the independent variables are house_age, crime_rate, tax_rate, trying to build a model to predict the house value, how to state model assumptions? What's the assumption in this case? Thanks!
Identify the independent and dependent variable.
A researcher is studying relationship between speed of cycling and the presence of people. Formulate a relevant hypothesis and identify the independent and dependent variable.
For the following, identify the independent variable and the dependent variable and explain why we should...
For the following, identify the independent variable and the dependent variable and explain why we should use a parametric or nonparametric procedure. (a) When ranking the intelligence of a group of people given a smart pill. (b) When compar- ing the median income for a group of college professors to that of the national population of all incomes. (c) When comparing the mean reading speed for a sam- ple of hearing-impaired children to the average reading speed in the population...
For the following variables, identify which is the Independent Variable and the Dependent Variable. Then create...
For the following variables, identify which is the Independent Variable and the Dependent Variable. Then create a hypothesis (be sure to also include the direction of the relationship) and then create a null hypothesis. Temperature and crime rates Hours studied and test scores Number of police officers and crime rate
1.) Use Excel to plot the dependent vs the independent variable. Show the regression equation from...
1.) Use Excel to plot the dependent vs the independent variable. Show the regression equation from the computer output. Lannie Karner- GPA 3.6 Income 75k Courtney Sheperd Gpa 3.3 Income 74K Zenobia Roussel- GPA 2.9 Income 66K Elaine Doody- GPA 3.8 Income 80k Maudie Hocker-GPA 3.1 Income 65k Rick Hoover-GPA 3.2 Income 53k Franinca Ortez-GPA 2.7 Income 65k Li Kinder-GPA 3.3 Income 71k Brad Clem-GPA 3.8 Income 80k Soon Nettleton-GPA 4.0 Income 95k Vertie Yousesef-GPA 3.9 Income 110k Love Au-GPA...
Run a linear regression using Excel’s Data Analysis regression tool. Construct the linear regression equation and...
Run a linear regression using Excel’s Data Analysis regression tool. Construct the linear regression equation and determine the predicted total sales value if the number of promotions is 6. Is there a significant relationship? Clearly explain your reasoning using the regression results. Number of Promotions Total Sales 3 2554 2 1746 11 2755 14 1935 15 2461 4 2727 5 2231 14 2791 12 2557 4 1897 2 2022 7 2673 11 2947 11 1573 14 2980
Assume one has estimated a regression equation of salary (dependent variable) against years of education independent...
Assume one has estimated a regression equation of salary (dependent variable) against years of education independent variable). How would one go about expanding the regression model to also estimate the gender effect (i.e., the average difference between male and female salary, given the same level of education? Explain how you would construct the additional variable and how you would interpret it, given how you construct it. How would you construct a hypothesis test to determine if the estimated gender-based differential...
Identify the dependent variable and the independent variable (or variables) and comment on the validity of...
Identify the dependent variable and the independent variable (or variables) and comment on the validity of the implied causal relationship: A study that looks at students’ college GPAs and how they are affected by the students’ number of weekly study hours, high school GPA, and number of weekly hours of extra-curricular activities. A young pitcher wants to understand how she can improve her pitches. She collects data on the number of strikes thrown in a pitched game, the average number...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT