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Tem Rousos, president of Rousos Ford, believes there is a relationship between the number of new cars sold and the number of sales people on duty. To investigate he selects a sample of eight weeks and determines the number of new cars sold and the number of sales people on duty for that week.
a) What are the dependent and independent variables?
b) Determine the coefficient of correlation.
c) What is the coefficient of determination?
What is the difference between a descriptive model that is developed using multiple regression analysis with time-series data and a model that is considered predictive?
a) Draw the scatter diagram. Does it appear that x and y are related? If so, how? b) Test to determine whether there is evidence of a linear relationship.
Given the following frequency distribution, find the mean, variance, and standard deviation. Please show all of your work so I can see how to do this for the future. This one is good example of what I can do in future for real estate.
Finding the probability of sample and describe the sampling distribution of the sample means.
The Bureau of Labor Statistics says that baggage handlers, trash haulers, and coal miners are among the occupations having the highest risk of the debilitating injury or illness. For coal miners working over the course of a year, 3.60 injuries per..
Calculate a 90% CI for the population proportion of Americans who believe there is intelligent life on other planets.
The p-value for a test statistic is .085, what is the minimum level of significance required to reject the null hypothesis?
If you randomly assign participants to groups, can you suppose the groups are equivalent at the beginning of the study?
A marketing research analyst collects data for a random sample of 100 customers out of the 400 who purchased a particular "coupon special".
What is the purpose of the F test in a multiple regression? What is a qualitative independent variable? How would we/what technique would we use to include a qualitative independent variable in a regression model.
Compute the sample variance and the sample standard deviation for these data (to 2 decimals).
Utilizing form of Regression method which would give you highest performing model to forecast Sales. Utilizing your model forecast the sales
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