Chapter 001 - Overview of Statistics 1-1 BADM 724 – Quant. Methods & Bus. Analytics XXXXXXXXXXDr. Frank Tian Xie Class Assignment and Exercise Questions - Lecture 11 Our Team (circle one): A B C D...

A total of 16 questions, I'm a repeat customer. Are you able to complete for $45.00?


Chapter 001 - Overview of Statistics 1-1 BADM 724 – Quant. Methods & Bus. Analytics Dr. Frank Tian Xie Class Assignment and Exercise Questions - Lecture 11 Our Team (circle one): A B C D Team Members Present (first name): =========================================================== True / False Questions 1. A sample correlation r = .40 indicates a stronger linear relationship than r = -.60. 2. The least squares regression line is obtained when the sum of the squared residuals is minimized. 3. In least-squares regression, the residuals will always have a zero mean. 4. In the model Sales = 268 + 7.37 Ads an additional $1 spent on ads will increase sales by 7.37 percent. 5. If R2 = .3941 in the model Sales = 268 + 7.37 Ads then Ads explains 39.41% of the variation in Sales. 6. If SSR is 1800 and SSE is 200 then R2 is .90. 7. There are usually several possible regression lines that will minimize the sum of squared errors. 8. Regression analysis deals with the structure of the relationship between X and Y, while correlation analysis primarily measures the strength of the relationship. 1-2 Multiple Choice questions 1. The variable used to predict another variable is called the A. response variable. B. regression variable. C. independent variable. D. dependent variable. 2. If the attendance at a baseball game is to be predicted by the equation Attendance = 16,500 - 75 Temperature, what would be the predicted attendance if Temperature is 90 degrees? A. 6,750 B. 9,750 C. 12,250 D. 10, 020 3. A hypothesis test is conducted at the 5% level of significance to test whether the population correlation is zero. If the sample consists of 25 observations and the correlation coefficient is 0.60, then the computed test statistic would be A. 2.071 B. 1.960 C. 3.597 D. 1.645 4. A researcher's results are shown below using Femlab (labor force participation rate among females) to try to predict Cancer (death rate per 100,000 population due to cancer) in the 50 U.S. states. Which statement regarding the relationship between Femlab and Cancer is valid? 1-3 A. A rise in female labor participation rate will cause the cancer rate to decrease within a state. B. This model explains about 10 percent of the variation in state cancer rates. C. At the .05 level of significance, there isn't enough evidence to say the two variables are related. D. If your sister starts working, the cancer rate in your state will decline. 5. Mary used a sample of 68 U.S. cities to estimate the relationship between Crime (annual property crimes per 100,000 persons) and Income (median income per capita, in dollars). Her estimated regression equation was Crime = 428 + 0.050 Income. If Income decreases by 1000 we would expect that Crime will A. increase by 428. B. decrease by 50. C. increase by 500. D. remain unchanged. 6. Consider the following linear trend equation of an industry's sales: yt = 120 + 12 t where t is measured in years and sales are measured in millions of dollars. Which is the most reasonable conclusion? A. We would forecast that sales will increase $12 million in the next year. B. We would forecast that sales will increase 12 percent in the next year. C. On the average, sales will increase 12/(120 + 12 x 10) = 0.05, or 5% next year. D. The year-to-year average change will depend on the value of t. 7. The sample coefficient of correlation does not have which property? A. It can range from -1.00 up to +1.00. B. It is also sometimes called Pearson's r. C. It is tested for significance using a t-test. D. It assumes that Y is the dependent variable. 8. Which is indicative of an inverse relationship between X and Y? A. A negative F statistic. B. A negative p-value for the correlation coefficient. C. A negative correlation coefficient. D. Either a negative F statistic or a negative p-value.