Find and explain any independent variable(s) that is statistically significant at the five percent significance level.

Statement 4-2 Cable system 1’ current price for basic service subscribers is $10.50 per month. A regional manager of the cable system 1 wants to evaluate price and cost of license fees of STARZ Network to their premium cable tier. Their marketing department obtained the data on the demand and costs of STARZ Network to […]

Is there a positive association between the size of the house and its selling price?

1-A sample of 12 houses that were sold last week in San Juan is selected. Can we conclude that, as the size of the house (reported in thousands of square feet in the table below) increases, so does the sale price. the following table in thousands of square feet), the selling price (reported in thousands […]

Do you think the researcher should be satisfied with using the size of the offering as the independent variable?

Excel Question The production of car tires in any given year is related to the number of cars produced that year and in prior years. Suppose our econometric model resulted in the following data. Regression Coefficient t-stat X1=Cars produced this year 5.00 10.4 X2=Cars produced last year 0.25 0.6 X3=Cars produced 2 years ago 0.67 […]

Did you see the results you expected, or was anything different from your expectations or experiences?

Scenario You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for […]

Describe the business-how quantitative analysis can be used to make it more efficient.Explain the quantitative processes you used to analyze the business.

MSL Unit VII This is a real-world project that involves analyzing and evaluating a business of your choice that is in your local area. By completing this project, you will demonstrate what you have learned in this course by analyzing a business. To complete this project, select a local business of your choice. Examples include, […]

Give the equation of the regression line a) Plug an actual x value into the equation and discuss the difference between the real y and the predicted y b) Use the equation to make a prediction c) Discuss the domain of your data

Description AS Description: This is the 1st portion of a project that will span the remainder of the units. In this unit you will need to come up with a topic, design a survey, collect and analysis data. AS Instructions: Complete and answer the following: 1) Choose a topic related to your major (Criminal Justice). […]

Given the following values for x (hours TV viewing) and y(hours studying) determine if there is linear relationship between TV viewing and studying. Use the Spearman Rho Correlation Coefficient. TV Viewing Studying X y 22 31 12 17 9 19 14 13 19 19 12 31 32 42 16 15 9 16

The following data included the number of hours per week a group of high school seniors spend on the computer working on homework. The data is differentiated between boys and girls. Using the independent t-test, is there a significant difference in the number of hours spent on the computer for homework between boys and girls? […]

Explain the coefficient test result. Is the null hypothesis rejected? What does that mean?

Q1. Perform and Interpret a Bivariate Linear Regression (9 points total) Q1Q2 data set contains cognitive function scores and demographics from a group of older adults. The focus of this question set is the executive function (Executive). Create an SPSS data file by importing the Q1Q2 data. Configure the “measure” for each variable. A . […]

What is the value of the regression coefficient,r? What is the value of the coefficient of determination, r^2? What does r^2 tell us?

Due Thursday Respond to the following in a minimum of 175 words: Models help us describe and summarize relationships between variables. Understanding how process variables relate to each other helps businesses predict and improve performance. For example, a marketing manager might be interested in modeling the relationship between advertisement expenditures and sales revenues. Consider the […]