Question 12 {3 decimal places } Find the degrees of freedom of the test statistic.

If you are performing a break-even analysis for a business and their cost and revenue equations are dependent, explain what this means for the company's profit margins.

For the revenue model in Exercise 10.206 and Exercise 10.210, explain what the x-intercepts mean to the backpack retailer.

Find the slpoe of the line: y=7

Find the slope of the line: x = —4.

Select the measurement scale in the right column that best matches the description in the left column. Note that each scale (nominal scale, ordinal scale, interval scale, and ratio scale) will be used exactly once. The values of data measured on this scale can be rank ordered. In addition, the differences between two adjacent ranks are equal. The values of data measured on this scale can be a number or a name, but they can be rank ordered. The values of data measured on this scale can be rank ordered and have meaningful differences between scale points. For this scale, there is also an absolute zero point. Data on this scale are measured by determining the category to which they belong.

In 2011 home prices and mortgage rates dropped so low that in a number of cities the monthly cost of owning a home was less expensive than renting. The following data show the average asking rent for 10 markets and the monthly mortgage on the median priced home (including taxes and insurance) for 10 cities where the average monthly mortgage payment was less than the average asking rent (The Wall Street Journal, November 26–27, 2011).Click on the datafile logo to reference the data.     Enter negative values as negative numbers. a.  Develop the estimated regression equation that can be used to predict the monthly mortgage given the average asking rent (to 2 decimals).The regression equation is:Mortgage ($) =  +  Rent ($)

When the measure of spread is compared between two data sets, data set A has an interquartile range of 12, and data set B has an interquartile range of 23. How do the values of data set A compare to data set B?     The values of data set A are about the same on average as the values of data set B. The values of data set A are more spread out compared to the values of data set B. The values of data set A are less spread out compared to the values of data set B. The values of data set A are less on average compared to the values of data set B.

A researcher wonders whether males get paid more, on average, than females at a large firm. The accompanying data file shows the hourly wage (Wage in $), years of higher education (Educ), years of experience (Exper), age (Age), and a Male dummy variable that equals 1 if male, 0 otherwise, for 50 employees. Click here for the Excel Data File a. Estimate: Wage Bo + B₁Educ + B₂Exper+ B3Age + B4Male + z. Note: Negative values should be indicated by a minus sign. Round your answers to 2 decimal places. Wage= 8.68 + 50-year-old male 50-year-old female $ $ 1.23 Educ+ Wage b. Predict the hourly wage of a 50-year-old male and female employee with 10 years of higher education and 9 years of experience. Note: Round final answers to 2 decimal places. 0.42 Exper+ 24.59 per hour 22.31 per hour 0.02 Age + 2.29 Male

Professor Miguel has just given a math exam and wants to calculate the 'range' of performance of his students. What must he do? A. Identify the central score. B. Find the score that occurs most often. C. Identify how far from average each score is. D. Subtract the lowest score from the highest score