After providing its sales force with Super Duper Sales Training in January 2020, the XYZ company wants to explore whether sales revenue increased in 2020. Therefore, it compared its 2020 sales revenue to its 2019 sales revenue. What is the dependent variable? a. year b. the sales people c. the XYZ company d. sales training e. sales revenue
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- Should large retailers offer banking services? Small community banks may be concerned about their future if more retailers enter the world of banking. Suppose that a market research company conducted a national survey for one retailer that is considering offering banking services to its customers. The respondents were asked to indicate the provider (bank, retail store, other) that they most likely would use for certain banking services (assuming that rate is not a factor). Is there a relationship between these two variables? Provider Service Bank Retail Store Other Checking account Savings account Home mortgage 100 85 30 45 25 10 10 45 80Determine the dependent and independent variable of the following statement: 1. The Effect of Structure Peer Assisted Instruction to the Academic Performance of STEM Students in PhysicsThe owner of the Queensland Restaurant would like to determine the fixed and variablecomponents of the restaurant's utility expenses. The owner believes that the variable component ofthe utilities cost is driven by the number of meals served.Meals Utilitiesserved CostJanuary 3,600 P1,560February 2,000 P1,060March 2,900 P1,350April 3,500 P1,500May 3,900 P1,580June 2,100 P1,250July 1,900 P1,100August 1,000 P 850September 1,250 P 990October 1,400 P 880November 2,600 P1,180 Required:Compute the expected utilities cost if 5,200 meals are served, using:USING THE LEASE-SQUARES REGRESSION METHOD.
- The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1x1) is the number of hours spent studying, and the second independent variable (x2x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 55 44 3030 55 33 3030 44 33 2828 22 33 2222 11 22 2020 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.050.05 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship…The owner of the Kosher Restaurant would like to determine the fixed and variable components of the restaurant's utility expenses. The owner believes that the variable component of the utilities cost is driven by the number of meals served. Meals Utilities served CostJanuary 3,600 P1,560February 2,000 P1,060March 2,900 P1,350April 3,500 P1,500May 3,900 P1,580June 2,100 P1,250July 1,900 P1,100August 1,000 P 850September 1,250 P 990October 1,400 P 880November 2,600 P1,180 Compute the expected utilities cost if 5,200 meals are served, using:The Lease - Squares Regression MethodThe following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1�1) is the square footage, the second independent variable (x2�2) is the number of bedrooms, and the third independent variable (x3�3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 11191119 33 33 100900100900 13081308 33 44 119800119800 14521452 33 66 189800189800 16931693 33 66 190500190500 20052005 33 66 196900196900 22102210 33 99 216600216600 23012301 44 99 250900250900 23452345 44 1010 267800267800 28532853 55 1313 270000270000 Copy Data Step 1 of 2 : Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places
- The Minister of National Security in Trinidad and Tobago is interested in determining the factors that influence the number of crimes that are reported. You are tasked to develop a model using the appropriate variables. The following variables are utilized: X1 X2 X3 X4 X5 X6 478 184 74 11 31 20 494 213 72 11 43 18 643 347 70 18 16 16 341 565 71 11 25 19 773 327 72 9 29 24 603 260 68 8 32 15 484 325 68 12 24 14 546 102 62 13 28 11 424 38 69 7 25 12 548 226 66 9 58 15 506 137 60 13 21 9 819 369 81 4 77 36 541 109 66 9 37 12 491 809 67 11 37 16 514 29 65 12 35 11 371 245 64 10 42 14 457 118 64 12 21 10 437 148 62 7 81 27 570 387 59 15 31 16 432 98 56 15 50 15 619 608 46 22 24 8 357…The owner of the ABC Restaurant would like to determine the fixed and variable components of the restaurant's utility expenses. The owner believes that the variable component of the utilities cost is driven by the number of meals served. Meals Utilities served CostJanuary 3,600 P1,560February 2,000 P1,060March 2,900 P1,350April 3,500 P1,500May 3,900 P1,580June 2,100 P1,250July 1,900 P1,100August 1,000 P 850September 1,250 P 990October 1,400 P 880November 2,600 P1,180 Required:Compute the expected utilities cost if 5,200 meals are served, using: 1) THE HIGH-LOW METHOD ANALYSIS 2) USING THE LEASE-SQUARES REGRESSION METHOD.The owner of the ABC Restaurant would like to determine the fixed and variable components of the restaurant's utility expenses. The owner believes that the variable component of the utilities cost is driven by the number of meals served. Meals Utilities served CostJanuary 3,600 P1,560February 2,000 P1,060March 2,900 P1,350April 3,500 P1,500May 3,900 P1,580June 2,100 P1,250July 1,900 P1,100August 1,000 P 850September 1,250 P 990October 1,400 P 880November 2,600 P1,180 Compute the expected utilities cost if 5,200 meals are served, using:The Lease - Squares Regression Method
- In a study on speed control, it was found that the main reasons for regulations were to make traffic flow more efficient and to minimize the risk of danger. An area that was focused on in the study was the distance required to completely stop a vehicle at various speeds . Use the following table to answer the questions. MPH Braking Distance 20 20 30 45 40 81 50 133 60 205 80 411 Assume MPH is going to be used to predict stopping distance. Which of the two variables in the independent variable? Which is the dependent variable? What type of variable is the dependent variable What type of variable is the independent variable? Construct a scatter plot IS there a relationship between the two variables? a) Positive b) NegativeTo determine whether talking to plants affects their health, a researcher conducts a study in which he talks to one group of five plants and does not talk to the second group of five plants. After two weeks, he records the number of blooms produced by each plant (the dependent measure of their health). The researcher finds that, on average, the five plants he talked to produced 4.3 blooms (SD = 2.2), while the five plants he did not talk to produced 3.2 blooms (SD = 2.0). (a) Perform an independent-samples t-test to determine whether talking to the plants significantly affected their health.The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1x1) is the square footage, the second independent variable (x2x2) is the number of bedrooms, and the third independent variable (x3x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 24332433 3 22 277600277600 20602060 4 99 250900250900 19121912 3 99 114800114800 24782478 3 55 290000290000 18841884 4 1414 287300287300 25982598 3 1313 123700123700 30743074 4 22 193900193900 27382738 3 88 146900146900 13981398 5 55 272200272200 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Step 2 of 2: Determine if a statistically significant linear relationship exists…