Answered: Calculate the rate of return for the…

Calculate the rate of return for the following cash flow diagram, using the trial-and-error approach (Start with the initial guessing 11%) 125

Essentials of Business Analytics (MindTap Course List)

2nd Edition

ISBN:9781305627734

Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Chapter8: Time Series Analysis And_forecasting

Section: Chapter Questions

Problem 18P: Consider the following time series: Construct a time series plot. What type of pattern exists in...

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Consider the following set of dependent and independent variables. Complete parts a through c below. y 9 11 D 15 15 21 24 28 32 X1 2 6 6 8 6 11 15 20 X2 16 10 14 11 3 8 7 4 a. Using technology, construct a regression model using both independent variables. y= (15.3952) + (1.0092) x₁ + (-0.5869)x2 (Round to four decimal places as needed.) b. Test the significance of each independent variable using α = 0.05. Test the significance of x₁. Identify the null and alternative hypotheses. Ho B₁ = H₁ B₁ 0 0 (Type integers or decimals.) Calculate the appropriate test statistic. The test statistic is 4.20 (Round to two decimal places as needed.) Determine the appropriate critical value(s) for α = 0.05. The critical value(s) is (are) ☐ (Round to two decimal places as needed. Use a comma to separate answers as needed.)
q5- In which of the following charts the X-axis represents outcomes and the Y-axis represents the number of times or the percentage each outcome occurs in the dataset? a. A combo-chart b. A scatter plot c. A histogram d. A boxplot
Assume there are 3,600 cases in the validation dataset, and 12% of these cases have a value of 1 for churn (the primary/positive event). Questions a) to c) are based on data for the 3,600 cases (see table below). Depth (% Contacted) Model Cumulative Gain Cumulative Lift Decision Tree 34.42 6.84 Logistic Regression Neural Network 20.19 4.01 34.62 6.88 Decision Tree Logistic Regression Neural Network 10 64.90 6.06 10 36.06 3.15 10 62.50 5.54 Decision Tree 15 73.96 1.82 Logistic Regression Neural Network 15 49.04 2.62 15 82.21 3.97 Decision Tree Logistic Regression 20 78.39 0.87 20 59.13 2.01 Neural Network 20 86.54 0.86 a) Which model has the highest Cumulative Lift at a depth of 20%? What is the lift? b) If the Cumulative Gain at a depth of 10% for the Decision Tree is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation. c) If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of…
Consider the following set of dependent and independent variables. Complete parts a through c below. y 10 11 15 15 21 24 27 32 X1 2 6 6 8 6 11 17 21 X2 17 9 13 10 3 8 6 4 a. Using technology, construct a regression model using both independent variables. = + + (Round to four decimal places as needed.)
Compute Cohen’s kappa to assess reliability using Rater 1 and Rater 2. Interpret theoutput as in Output 6.1 by writing an explanatory paragraph as you would in the method sectionof an article or paper.
Please include excel formula Using the following returns, calculate the arithmetic average returns, the variances, and the standard deviations for X and Y. Input area: Year X Y 1 13% 27% 2 26% 36% 3 7% 11% 4 -5% -29% 5 11% 16% (Use cells A6 to C11 from the given information to complete this question. You must use the built-in Excel function to answers this question. Make sure to use the “sample” Excel formulas.) Output area: Asset X: Average return Variance Standard deviation Asset Y: Average return Variance Standard deviation
Compute the mean, median, and mode of the data sample. (If every number of the set is a solution, enter EVERY in the answer box.) 3, 4, 4, 8, −4 mean______ median_______ mode__________
Expected return and standard deviation. Use the following information to answer the questions: a. What is the expected return of each asset? b. What is the variance of each asset? c. What is the standard deviation of each asset? Hint: Make sure to round all intermediate calculations to at least seven (7) decimal places. The input instructions, phra answers you will type. Data table (Click on the following icon in order to copy its contents into a spreadsheet.) Return on Asset A in State of Economy Boom Normal Recession Probability of State 0.35 0.51 0.14 Print State 0.05 0.05 0.05 Done Return on Asset B in State 0.23 0.08 -0.05 Return on Asset C in State 0.33 0.17 -0.22
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Trend projection is an example of _____________ methods of forecasting. a. Econometric b. Barometric c. Time-series d. Qualitative
q4- What can be used to analyse the relationship between two categorical or qualitative variables? Choose all that apply. Select one or more: a. Scatterplots b. Cramer's Coefficient c. Correlation coefficient d. Contingency tables
A simple regression model for 10 pair of data resulted in a standard error of 3.95 (i.e., Se = 3.95), and the. The sum of squares of error (SSE) is ______. Group of answer choices 187.23 171.63 156.03 140.42 124.82