Candidates A 1st place votes 10 20 40 2nd place votes 20 40 10 3rd place votes 40 10 20 What is the score of the winning candidate by Borda Count Method? a. 164 b. 170 c. 160 d. 150 B C O a
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- . Prepare a scatter diagram for each of these data sets and then express in words the apparent relationship between the two variables. Put the first variable on the horizontal axis and the secondvariable on the vertical axis.b. Temperature (°F) 65 63 72 66 82 58 75 86 77 65 79Error rate 1 2 0 0 3 3 1 5 2 1 35 Sample data: Mean (Microns) (N=4) Minimum Maximum3.821 3.764 3.9993.946 3.804 4.2514.049 4.039 4.4543.793 3.779 3.9233.635 3.534 4.0684.046 3.578 4.5043.569 2.974 3.9084.084 3.779 5.6673.414 2.806 4.2565.319 5.168 6.3464.096 4.092 4.2234.108 3.957 4.3084.037 3.982 4.3933.789 3.691 3.8534.066 4.023 4.269 Sample Size N A2 D3 D4 2 1.88 0 3.27 3 1.02 0 2.57 4 0.73 0 2.28 5 0.58 0 2.11 6 0.48 0 2.00 7 0.42 0.08 1.92 8 0.37 0.14 1.86 9 0.34 0.18 1.82 10 0.31 0.22 1.78 11 0.29 0.26 1.74 12 0.27 0.28 1.72Based on the following regression ANOVA table, what is R2? Source df SS MS F Regression 4 1793.2356 448.3089 7.4854 Residual 45 2695.0996 59.8911 Total 49 4488.3352 0.6005 0.3995 0.8807 0.7230
- A researcher is interested in the relationship between birth order and personality. A sample of n=90 people is obtained, all of whom grew up in families as one of three children. Each person is given a personality test, and the researcher also records the person's birth order position (1st born, 2nd, or 3rd). The frequencies from this study are shown in the following table. Birth Position 1st 2nd 3rd Outgoing 14 31 20 Reserved 18 19 6 What are the expected frequencies for the conditions below?The following data are the last three years of quarterly sales ($ thousands) for AmeriWeld. They are looking to forecast their sales for the upcoming year, 2021. Quarter t Sales $ thousands (y) 2018 Q1 1 15 Q2 2 14 Q3 3 13 Q4 4 37 2019 Q1 5 54 Q2 6 34 Q3 7 67 Q4 8 73 2020 Q1 9 77 Q2 10 62 Q3 11 94 Q4 12 101 a. Determine the regression equation. (Round to 2 decimal places.) Regression equation: ŷ = ______ + ______ t b. Determine the specific index for each quarter. (Indexes should be in decimal form (e.g. 1.36 not 136). Rounded to 2 decimal places.) Quarter Quarterly Index Q1 Q2 Q3 Q4 c. What are the estimated sales (forecast) for the next four quarters? (Values in $thousands. Round to 2 decimal places.) Quarter Forecasted Sales 2021-1 2021-2 2021-3 2021-3Please no written by hand solutions In a recent commercial, a weight-loss company featured testimonials touting their “miracle shake” nutritional supplement. Satisfied Customer Time (days) Weight loss (kg) Sarah, from Toronto 30 11 Zack, from New York 45 16 Eli, from Detroit 90 36 Yvette, from Montreal 10 4.5 Lynn, from San Diego 30 8.5 Kulwinder, from Vancouver 60 20 The commercial claims that the miracle shake will provide guaranteed weight loss. a) Use this data to determine the correlation between time on the diet and weight loss (either the Spearman's Rank Coefficient, or the PPMCC, but state which you are calculating. You are welcome to use a spreadsheet). b) Does the correlation imply that the miracle shakes cause weight loss? Identify any possible outliers.
- Q1. (400 words) Ahmed's interest was cricket. When he finished university, he wanted to work in a management job. He wanted to do his research project on some aspect of general management and social sciences, preferably for a sports goods manufacturer but had no research idea. He asked five friends, all taking business education degrees, to help him brainstorm the problem. You are requested to use the following problem-solving techniques to generate and refine the research idea in this business scenario. The technique of Brainstorming 2.The Delphi techniqueQuarter 1 2 31 11 14 172 20 23 263 29 32 354 38 41 44Compute seasonal relatives for this quarterly data.a. Use the SA method.Calculate the mean and standard deviation for the following distribution Class 1 2 5 6-10 10-20 20-30 30-50 50-70 70-100 f 3 4 10 23 20 20 15 3 2
- q10- What is the best description of Granger-causality? Select one: a. the ability of lags of one variable to contribute to the forecast of another variable b. the ability of a variable to predict its own future c. the ability of the one variable to explain it own past d. None of the above Clear my choiceMaximize z=4x+5y Subject to: x+y<or=4 x-y>or=-2 x<or=3 x>or=0, y>or=0Based on the following regression ANOVA table, how many predictors are studied? Source df SS MS F Regression 4 1793.2356 448.3089 7.4854 Residual 45 2695.0996 59.8911 Total 49 4488.3352 1 3 4 5
