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Regression analysis was applied between sales in ($1000) and advertising(in $100), and the following regression function was obtained: Y = 61 +4.1X Based on this regression line, if advertising is $10,000, the point estimate for sales (in dollars) is what. How do we use a least squares regression line? What is the range for the coefficient of determination?
In, addition, the company has decided to purchase at least three of the new Econo-Tankers for use on short-run, low-demand routes. As a final constraint, the conpany deos not want more than half the new models to be Super Tankers.
Research the topic of Job Satisfaction and provide a 1 page write-up of the research highlighting where statistical analysis is being used and why it's used.
Given the following data on the number of pints of ice cream sod at a local ice cream store for a 6 period time frame.
Determine out the regression equation. Determine the estimated sales if 40 contacts are made.
A group of teenagers were monitored closely over the period of several weeks to measure how frequently they watched violent television programs.
Given a normal distribution of data, we know from the Empirical Rule that in between 2 standard deviations from the mean
Change the last number in that set from 36 to 14 and recalculate the confidence interval. Using the results, describe the effect of an outlier or extreme value on the confidence interval.
A local politician in this town has stated that the average property taxes are $1800 and most people do not pay more than this amount. Conduct a test at the alpha = .01 level to determine if this is true. For this test, consider a sample size of 3..
Determine the probability of choosing at random license plate which ends in the even number?
Assume that you researched insurance industry statistics and found out that the probability of major accident is 0.06%, and that the probability of a fender bender is 0.15%. What is the expected value decision? Would you choose this? Why or why no..
Find out the probability distribution of blood types by gender in the group of 1000 individuals.The table below gives the distribution of blood types by gender in a group of 1000 individuals.
What type of situation would I be able to understand how to use regression as a key driver as an influence in sales or other outcomes?
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