The owner of Showtime Movie Theaters, Inc. would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow.  Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 Part A: Develop an estimated regression equation with the amount of television advertising as the independent variable.  Part B: Develop an estimated regression equation with both television advertising and news paper advertising as independent variables. Part C: Is the estimated regression rquation coefficient for television advertising expenditures the same in part (a) and in part (b) ? Interpret the coefficient in each case.  Part D : Predict Weekly gross revenue for a week $3500 is spent on television advertising and $1800 is spent on newspaper advertising?  Please hurry

Construct a Stem and Leaf plot for the given data. 1.13, 0.72, 0.91, 1.44, 1.03, 0.88, 0.99, 0.73, 0.91, 0.98, 1.21, 0.79, 1.14, 1.19, 1.08, 0.94, 1.06, 1.11, 1.01

Use this dataset for your analysis software.Cost-to-charge ratio (the percentage of the amount billed that represents the actual cost) for inpatient and outpatient services at 11 Oregon hospitals is shown in the following table. A scatterplot of the data is also shown. Cost-to-Charge Ratio Hospital OutpatientCare InpatientCare 1 62 80 2 66 76 3 63 75 4 51 62 5 75 100 6 65 88 7 56 64 8 45 50 9 48 54 10 71 83 11 54 100 The least-squares regression line with y = inpatient cost-to-charge ratio and x = outpatient cost-to-charge ratio is  = -1.1 + 1.29 x. (a) Is the observation for Hospital 11 an influential observation? Yes or No     (b) Is the observation for Hospital 11 an outlier? Yes or No     (c) Is the observation for Hospital 5 an influential observation? Yes or No     (d) Is the observation for Hospital 5 an outlier? Yes or No

Use a scatter plot to display the data shown in the table below. The data represents the number of students per teacher and the average teacher salaries​ (in thousands of​ dollars) in 10 school districts.   Number of Students per Teacher Average​ Teacher's Salary   17.2 28.6   17.8 46.6   18.2 32.1   17.4 27.6   18.4 39.8   17.6 32.8   15.0 49.5   17.5 38.4   13.7 42.1   18.0 32.4         1.Construct a scatter diagram.           2.Describe the relation between students per teacher and average teacher salary.     A. As the amount of students per teacher​ increases, the average teacher salary also increases.   B. As the amount of students per teacher​ decreases, the average teacher salary increases.   C. There appears to be no relation between students per teacher and average teacher salary.

Which of the following is NOT an example of cross-sectional data?

State whether one would expect the data set described below to be normally distributed. Explain why or why not. The genders of 1,000 randomly selected adults

Determine whether the data is from a primary or secondary source. Primary       Secondary

The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow.   Click on the datafile logo to reference the data .

Which is the line of best fit for the data shown in the table? y 2 4 6. 6. 8. 8. 9. 9. O y = 0.72x+3.04 O y = 2.68x + 0.75 O y = 0.75x+ 2.68 O y = 2.68x + 0.70 96 XHN456

Analyze: write an analysis of the relative frequency table.    Female  Male  Total  Agree  0.32 0.32 0.64 Disagree 0.16 0.2 0.36 Total  0.48 0.34 1