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A company wants to study the effect of an employees length of employment on their number of workdays absent. the results of the regression analysis.
ANOVA df SS MS F p-value
Regression 1 25.352 25.352 14.657 0.012
Residual 5 8.648 1.730
TOTAL 6 34
Standard
Coefficients Error t-Stat p-value
Intercept 7.741 0.0872 8.8882 0.000
Years -0.685 0.179 -3.828 0.012
What is the least square equation?
Do cars get better gas mileage with premium instead of regular unleaded gasoline? While it might be possible to test some engines in a laboratory setting, we'd rather use real cars and real drivers in real day-to-day driving, so we get 20 voluntee..
In order to fund her retirement, Helen needs her portfolio to have an expected return of 13.8 percent per year over the next 30 years.
Children participating at a 1-week summer camp made five new friends on average during the first 6 days of camp. If each child made one more friend on the last.
The standard deviation of the distribution of means of change scores is 2.0 and the mean change score for the sample studied is an increase of 5.2. What is the t score?
Some restaurant owners, at the request of some of their less tolerant customers, have stopped allowing children into their restaurant. This naturally
Plot the means versus the platform type. Does there appear to be a difference in pricing?- Is it reasonable to assume that the variances are equal? Explain.
(a) Find a 99% confidence interval for the average number of fat grams consumed per day by US adults.
Discuss why salespeople's performance should be evaluated, who should evaluate their performance, when they should be evaluated, and proper procedures
Compare the discrete probability distribution to the continuous probability distribution, in terms of whether the probability of a specific value.
Determine and plot the probability mass function and probability distribution function of the contract award amount (in millions of dollars).
Using the population standard deviation of 1.9 daysfind the 90% confidence interval for the mean number of days a patient stays in the ward.
Suppose we want to cut the margin of error to 4%. What's the necessary sample size?- What sample size would produce a margin of error of 3%?
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