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 ($1,000s) Television Newspaper Advertising Advertising ($1,000s) ($1,000s) 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 The owner then used multiple regression analysis to predict gross revenue (y), in thousands of dollars, as a function of television advertising (x₁), in thousands of dollars, and newspaper advertising (x2), in thousands of dollars. The estimated regression equation was ŷ = 83.2 + 2.29x₁ + 1.30x2. (a) What is the gross revenue (in dollars) expected for a week when $2,500 is spent on television advertising (x₁ = 2.5) and $4,200 is spent on newspaper advertising (x2 = 4.2)? (Round your answer to the nearest dollar.) $ 94385

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

II On Friday night, the owner of Chez Pierre in downtown Chicago noted the amount spent for dinner for 28 four-person tables. 95 103 109 114 113 107 10 OLT 104 08 134 124 105 84 176 115 69 68 95 108 61 091 87 128 95 61 150 52 136 E Click here for the Excel Data File (a) Find the mean, median, and mode. (Round your answers to 2 decimal places.) Descriptive Statistics Data Count Mean Median Mode (b) Are the data symmetric or skewed? If skewed, which direction? O Symmetric O Skewed left O Skewed right Graw 11!H < Prev 10 of 19 ....... 2 Type here to search < įXƏN

Explain the meaning of the specified term. Distribution of a data set

Dixie Showtime Movie Theaters, Inc., owns and operates a chain of cinemas in several markets in the southern U.S. The owners would like to estimate weekly gross revenue as a function of advertising expenditures. Data for a sample of eight markets for a recent week follow. Market Mobile Shreveport Jackson Birmingham Little Rock Biloxi New Orleans Baton Rouge Weekly Gross Revenue Television Advertising Newspaper Advertising ($100s) 101.3 51.9 74.8 126.2 137.8 101.4 237.8 219.6 ($100s) 5.0 3.0 4.0 4.3 3.6 3.5 5.0 6.9 + (a) Use the data to develop an estimated regression equation with the amount of television advertising as the independent variable. Let x represent the amount of television advertising. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) ŷ ($100s) 1.5 3.0 1.5 4.3 4.0 2.3 8.4 5.8 X Test for a significant relationship between television advertising and weekly…

Prisons 2006 A report from the U.S. Department ofJustice (www.ojp.usdoj.gov/bjs/) reported the percentchanges in federal prison populations in 21 northeasternand midwestern states during 2006. Using appropriategraphical displays and summary statistics, write a reporton the changes in prison populations.

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 GrossRevenue($1000s) TelevisonAdvertising($1000s) NewspaperAdvertising($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

Explain the meaning of the specified term. Sample data

Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…

Top-Paid CEOs The data shown are the total compensation (in millions of dollars) for the 27 top-paid CEOs for a recent year. Compare the averages, and state which one you think is the best measure. 미 00 18.0 18.0 18.2 19.1 19.1 19.3 19.7 19.8 21.6 22.9 23.2 23.7 24.0 24.0 24.1 25.1 25.2 25.2 25.4 25.5 25.9 26.8 31.7 35.2 35.4 36.8 38.5 Send data to Excel Part: 0 / 5 Part 1 of 5 Find the mean. Rounding rule for the mean: round to one more decimal place than the data as needed. Mean: illo