From March to April * anuary February March April May Remain steady Dramatical rise June Appr August September 33 October 33 November December
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- Which of the following is not a good interpretation of a seasonal index of 1.26 for fall quarter sales? O a. Fall quarter sales are 26 perbent higher than the annual average. O b. Fall quarter sales represents 1.26 times the annual average. O c. Fall quarter sales represents an increase of 26 percent over last year's annual average. O d. Fall quarter sales average 126 percent of annual sales.Which of the following is not a way to combine two function into one? A.addition B.subtraction C.distribution D. CompositionThe number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year's usage and temperatures are in the following table: Usage/ Month Temp. 1000 Month 21 185.79 July. 24 214.47 Aug. 32 288.03 Sept. 47 424.84 Oct. 50 454.58 Nov. 59 539.03 Dec. Jan. Feb. Mar. Apr. May June Temp. 68 74 62 50 41 30 Identify which are the independent and dependent variables. Usage/ 1000 621.55 675.06 562.03 452.93 369.95 273.98
- A car manufacturing company that makes three different types of cars wants information about customer satisfaction for cars sold during the previous year. Each customer is asked for the type of car he or she bought last year and to rate his or her level of satisfaction on a scale from 1 to 6. Is/are the variable(s) of interest quantitative or qualitative?The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in °F) for that month. The past year's usage and temperature are shown in the following table. Month Temp(X) Usage(Y) Month Temp(X) Usage(Y) Jan 21 185.21 July 68 621.55 Feb 24 214.45 Aug 74 675.15 March 32 288.03 Sept 62 562.03 Apr 47 424.84 Oct 51 452.93 May 50 454.31 Nov |41 370.01 June 59 539.03 Dec 30 273.98 Estimate the intercept (beta0) and slope (beta1) regression coefficients. beta0 beta1 =The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year’s usage and temperatures are in the following table: Month Temp. Usage/1000 Month Temp. Usage/1000 Jan. 21 185.79 July. 68 621.55 Feb. 24 214.47 Aug. 74 675.06 Mar. 32 288.03 Sept. 62 562.03 Apr. 47 424.84 Oct. 50 452.93 May 50 454.58 Nov. 41 369.95 June 59 539.03 Dec. 30 273.93 Test for significance of regression using α=0.01 (Use ANOVA). Calculate the r2 of the model. Find a 99% CI for .
- The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year’s usage and temperatures are in the following table: Month Temp. Usage/1000 Month Temp. Usage/1000 Jan. 21 185.79 July. 68 621.55 Feb. 24 214.47 Aug. 74 675.06 Mar. 32 288.03 Sept. 62 562.03 Apr. 47 424.84 Oct. 50 452.93 May 50 454.58 Nov. 41 369.95 June 59 539.03 Dec. 30 273.93 Find a 99% CI for β1.The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year’s usage and temperatures are in the following table: Month Temp. Usage/1000 Month Temp. Usage/1000 Jan. 21 185.79 July. 68 621.55 Feb. 24 214.47 Aug. 74 675.06 Mar. 32 288.03 Sept. 62 562.03 Apr. 47 424.84 Oct. 50 452.93 May 50 454.58 Nov. 41 369.95 June 59 539.03 Dec. 30 273.93 Suppose that the monthly average temperature is 47 F. Calculate the fitted value of y and the corresponding residual. Test for significance of regression using α=0.01 (Use ANOVA). Calculate the r2 of the model. Find a 99% CI for .Q1. The number of products newly listed with SHOPEE in each quarter over the last four years is given. Calculate the seasonal index values. Year Quarter 1 2 3 4 1 73 81 76 77 2 89 87 85 92 3 123 115 108 131 4 92 93 87 101
- The following table indicates the unit prices (in Rands) and quantities of three goods purchased every month by a small restaurant for the years 2023 and 2024. GOOD 2023 2024 Unit Price (p0) Quantity (q0)) Unit Price (p1) Quantity (q1) Milk R12.60 2555 R12.85 2705 Eggs R11.00 114 R14.00 107 Flour R65.00 350 R68.50 400 Q.3.1 Using 2023 as the base year, compute the price relative in 2024 for milk and eggs. Interpret your answers. Q.3.2 Using 2023 as the base year, compute the Laspeyres price index for all of the goods for 2024. Interpret your answer. Q.3.3 Using 2023 as the base year, compute the Paasche price index for all of the goods for 2024. Interpret your answer.The table to the right classifies a stock's price change as up, down, or no change for both today's and yesterday's prices Price changes were examined for 104 days. A financial theory states that the price change of today for a stock must be independent of yesterday's price change. Test the hypothesis that daily stock price changes for this stock are independent. Let a=0.10. Price Change Previous Day Up No Change Down 16 Price Change Today 13 Up No Change 7 Down 14 16 10 13 Determine the null and alternative hypotheses for the test. Choose the correct answer below. O A. Ho: Today's price change and yesterday's price change are not independent. HA: Today's price change and yesterday's price change are independent. O B. Ho: Today's price change and yesterday's price change are independent. HA: Today's price change and yesterday's price change are not independent. OC. Ho: Today's price change and yesterday's price change have non-equal proportions. HA: Today's price change and yesterday's…1.40 Continuous or Discrete? Identify each variable as continuous or discrete: EX a. Number of homicides in Detroit during a one-month period b. Length of time between arrivals at an outpatient clinic c. Number of typing errors on a page of manuscript d. Number of defective lightbulbs in a package containing four bulbs e. Time required to finish an examination