Referring to Scenario 13-11, what is the critical value for testing whether there is a linear relationship between revenue and the number of downloads at a 5% level of significance?
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6. Referring to Scenario 13-11, what is the critical value for testing whether there is a linear relationship between revenue and the number of downloads at a 5% level of significance?
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- 2. The city council is considering a law that would ban concealed weapons in all public facilities. A sample has been selected from the community and surveyed about support for the proposed ordinance. Is there a statistically significant relationship between age and support for the law against carrying concealed weapons (use p=.05, χ2(critical) = 3.841)? Use the five step model as a guide and write a sentence or two interpreting your results. Age Under 40 40 and older Support For 142 77 219 Against 106 170 276 248 247 495The following table contains yearly data on the price of beef from 2022 to 2024: Year Price of Beef ($/Kg) 3 5 8 2022 2023 2024 Forecast the price of chicken for 2025 using the following methods: 1. A 3-Year moving average method; 2. A simple exponential smoothing method (use a=0.5); 8. A simple linear trend model.12) The following results are an autoregression for US Exports to Mexico where the dependent variable is the lagged value of US Exports. a) Fill in the table b)Based on these regression results, what is your forecast of US Exports to Mexico for March 2005? c) Which of the two forecasts do you think is more accurate? Explain.
- “The Rule of 40”, a principle according to which software company’s combined “Revenue growth rate” and “Operating margin” should exceed 40%, has gained momentum as a high-level gauge of performance for software businesses. Increasingly, executives are embracing “the Rule of 40” as an important metric for building company’s valuation. To investigate the relationship between the company’s fulfilment of the “Rule of 40” and the company’s market capitalization, quarterly data was gathered for a software company (Ansys) in Worksheet 1. Worksheet 1 Quarter ended date Rule of 40 (Revenue + Op Income, $M) Market Capitalization, $M Mar-03 $125 $424 Jun-03 $132 $514 Sep-03 $143 $597 Dec-03 $153 $596 Mar-04 $163 $581 Jun-04 $170 $666 Sep-04 $175 $957 Dec-04 $184 $1 073 Mar-05 $194 $1 091 Jun-05 $203 $1 196 Sep-05 $213 $1 341 Dec-05 $221 $1 567 Mar-06 $235 $2 177 Jun-06 $277 $1 915 Sep-06 $329 $1 956 Dec-06 $391 $1 976 Mar-07 $453 $2 120 Jun-07 $491…13. In the regression equation Log(Cars_Sold) = 1500 + 2.3*Advertisement, what is the most appropriate interpretation of the slope coefficient? OA. a. $1 increase in advertisement, increases cars sold by 230% O B. b. $1 increase in advertisement increases cars sold by 2.3 OC. c. 1% increase in advertisement increases cars sold by 0.023 OD. d. 1% increase in advertisement increases cars sold by 230%What do you mean by the impact multiplier or impact propensity? How is it different from the long-run propensity (LRP)? Discuss with an appropriate example of the distributive lag model.
- Fiske Corporation manufactures a popular regional brand of kitchen utensils. The design and variety has been fairly constant over the last three years. The managers at Fiske are planning for some changes in the product line next year, but first they want to understand better the relation between activity and factory costs as experienced with the current products. Discussions with the plant supervisor suggest that overhead seems to vary with labor-hours, machine-hours, or both. The following data were collected from last three year's operations: Quarter Machine-Hours 18,850 4 5 6 7 8 9 10 11 12 18,590 17,480 19,240 21,280 19,630 19,240 18,850 18,460 20,670 17,550 18,460 Labor-Hours 15,605 15,484 16,727 15,990 17,508 17,376 15,297 14,373 16,001 17,002 14,285 17,651 Factory costs $ 3,395,671 3,425,836 3,617,844 3,573,940 3,812,984 3,778,012 3,532,426 3,369,802 3,513, 187 3,731,434 3,325,615 3,724,486 Required: Prepare a scatter graph based on the factory cost and labor-hour data. Note: 1.…4) In a univariate linear regression, explain intuitively, graphically and mathematically, how the variance of the estimated slope depends on a) the number of observations; b) the mean squared deviation of the independent variable; c) What else does it depend on? Can you explain how?3. You are curious to understand if there is a relationship between the average grade (in %) that students received in Assignment 1, 2, and 3 of ECOR 2050 (assignments that covered midterm material) and their grade (in %) in the Midterm of the course. You are limited to collect 7 sets of data (midterm vs average assignments). For that, you can check the google sheets to find grades of assignment 1, 2, and 3 and midterm for 7 students. You should be careful that your data set is not biased. a) Collect the information and record them in the table below (please use a typed table/numbers as we need to copy/paste your numbers into Excel for checking your solution and marking). Mention how you ensured that your data set is random and unbiased. Student 2 3 4 6. 7 Grade (%) Average of Assignment 1, 2, and 3 (assignments before midterm) Midterm b) Using the collected information, conduct a simple linear regression analysis and find the regression line. Also, estimate the coefficient of…
- (b) Table 1 shows consumables usage data from a leading manufacturer. Forecast the demand for August, September and October using: i) a three-month moving average ii) a four-month weighted moving average using 50 percent of the actual usage for the most recent month, 20 percent of two months ago, 15 percent of three months ago and 15 percent of four months ago. Using an example, explain what are the benefits of using the weighted moving average method of forecasting instead? Month February 2023 March 2023 April 2023 May 2023 June 2023 July 2023 Consumables Used 884 892 972 990 956 880“The Rule of 40”, a principle according to which software company’s combined “Revenue growth rate” and “Operating margin” should exceed 40%, has gained momentum as a high-level gauge of performance for software businesses. Increasingly, executives are embracing “the Rule of 40” as an important metric for building company’s valuation. To investigate the relationship between the company’s fulfilment of the “Rule of 40” and the company’s market capitalization, quarterly data was gathered for a software company (Ansys) in Worksheet 1. Worksheet 1 Quarter ended date Rule of 40 (Revenue + Op Income, $M) Market Capitalization, $M Mar-03 $125 $424 Jun-03 $132 $514 Sep-03 $143 $597 Dec-03 $153 $596 Mar-04 $163 $581 Jun-04 $170 $666 Sep-04 $175 $957 Dec-04 $184 $1 073 Mar-05 $194 $1 091 Jun-05 $203 $1 196 Sep-05 $213 $1 341 Dec-05 $221 $1 567 Mar-06 $235 $2 177 Jun-06 $277 $1 915 Sep-06 $329 $1 956 Dec-06 $391 $1 976 Mar-07 $453 $2 120 Jun-07 $491…5