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A personnel manager for a large corporation feels that there may be a relationship between absenteeism and age and would like to use the age of a worker to develop a model to predict the number of days absent during a calendar year. A random sample of 10 workers was selected with the results presented below:
Age Days Absent
27 15
61 6
37 10
23 17
46 9
58 7
28 13
36 11
64 5
40 7
What is the correlation coefficient?
Examine the behaviour of 99% critical values for these degrees of freedom, and comment on the limits in this case.
There are two telephone lines A and B. Let E1 be the event that line A is being used and E2 be the event that line B is being used
For the following data set, indicate whether the shape of the distribution is normal, positively skewed, or negatively skewed. Provide evidence for your answer by calculating the mean, mode, and median.
If an original set of measurements is made in inches and has mean of 36 and variance of 144, what will be the mean, variance, and standard deviation if:
Evaluate the multiple regression model between quantity sold (Y) and following explanatory variables: average price of deep-dish pizzas, monthly advertising expenditures, and disposable income per household in areas surrounding outlets.
Findout the consumption level separating the bottom 45% to the top 55%. The September energy consumption levels for single family homes are found to the normally distributed with a mean
Determine for each variable if it is the explanatory variable, the response variable, or whether it could be both.
Based on this sample information find out what percent of variation in starting salaries is described by GPA, and find out the equation that would forecast salary from GPA. Give a scatter plot.
At 0.05 level of significance, is there evidence of noteworthy difference in variation in sales among different aisle locations?
Using variables below, (1) mention all research questions that would be replied with a Two Way ANOVA test, (2) make null hypotheses for these questions.
The closing price of a company's stock tomorrow can be lower, higher or the same as today's closed. Without any prior information that may affect the price of the stock tomorrow, the probability that it will close higher than today's close is 1/3
Can you conclude that the information in the article is untrue? Use the 0.05 significance level. Determine the p-value and explain its meaning.
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