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QUESTION 1Which of the following statements about the correlation coefficient between variable X1 (Number of advertisements placed the previous week) and variable X2 (Number of calls received the previous week) is correct:-The correlation coefficient is not statistically significant at 5% level -The correlation coefficient is not statistically significant at 10% level -Number of ads placed the previous week is not independent from the number of calls received previous week -An increase in the number of ads placed the previous week would cause the number of calls to increase by 61 percent -A decrease in the number of ads placed the previous week would cause the number of calls to decrease by 0.61 percent1 points QUESTION 2Which of the following statements about the estimated model is correct:-The proportion of variance in Y explained is 59.11%-The difference between R squared and adjusted R squared indicated that the overall model is insignificant-The sample size of 12 is too small for regression to be performed-The intercept of -270 means that next week should be expected 270 fewer calls than the previous week-The F-value of 3.85 is greater than 2.0; therefore, the model is significant1 points QUESTION 3The unexplained variance in Y (Number of Calls Received) is=0.9208=0.5882=0.4969=0.411801 points QUESTION 4Which of the following statements is correct:-None of the independent variable are statistically significant at 5% level-The effect of X2 (Calls Received Previous Week) variable is statistically significant at 5% level-The effect of X3 (Airline Bookings) variable is statistically significant at 5% level-All of the independent variables are statistically significant at 5% levelThe dependent variable is statistically significant at 5% level1 points QUESTION 5Which of the following statements is correct:-The regression model produces an unbiased estimate of the dependent variable-The regression model produces good estimates because the average residual is less than 5%-The average error produced by the regression model is 13 calls-The average error produced by the regression model is about 74 calls-The average error produced by the regression model is insignificant at 5% level
ltbrgtas of last year only 20 of the employees in an organization used public transportation to commute to and from
A sample of domestic new cars.
Are they weak or strong correlations - what is the significance value and what does the significance value reveal about the data we have used?
a. Calculate the costs associated with level production and chase production strategies.
What is the probability that at least 375 of the 500 complaints will be settled this year?
In 1997 the British government created a program
Explain why there are no individual differences in the numerator and in the denominator of the F ratio.
Write a brief note stating the circumstances under which cusum charting may be preferable to normal Shewart charting methods and calculate the mean of the sample values below, and suggest a suitable value for k, the cusum reference value.
Calculate an appropriate measure of agreement between DHEC and the independent company - Estimate for the proportion with a fast reaction time for each sex.
1. if the mean number of hours of television watched by teenagers per week is 12 with a standard deviation of 2 hours
Compute the expected time until the 100 th student arrives. What is the probability that the time between the arrival of the 200th and the 201st student exceeds 2 days?
Define the hypothesis and find the standard error of the difference in the means also find the test statistic - Determine the required sample size to be able to use a 99% confidence interval.
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