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Student 1 2 3 4 5 6 7 8 9
1st grade 98 77 88 80 96 61 66 95 69
final Grade 93 78 84 73 84 64 64 95 76
A. Develop a regression model that could be used to predict the final average in the course based on the first test grade.
B. Predict the final average of a student who made an 83 on the first grade.
C. Give the values r and r2 for this model. Interpret the value of r2 in the context of this problem.
If historical time series data is very limited, what type of forecasting approach would be useful.
One thing you have learned is that the tangency portfolio will give you the maximum Sharpe ratio. Consequently, you have constructed such a portfolio. What are you portfolio weights.
Suppose we select a sample of 40 tires and use a simulator to determine the tread life. What is the likelihood of finding that the sample mean is between 59,050 and 60,950?
Find the percentage of the total variation that cant explained by the linear relationship between the two variable.
According to the patient's history and physical examination. What are the chances of herniation if the MRI is positive?
Find a 99% confidence interval estimate of the proportion of people who say that they voted.
Draw the distribution of the random variable X, representing her time of arrival. (Be sure to include labels and values on the axes.)
Graph the least-squares line on your scatter diagram. Be sure to use the point (x, y) as one of the points on the line.
Below are revenue and profit (both in $ billions) for nine large entertainment companies.
Compute test statistic and p -value for each sample. (Negative amount must be pointed out by minus sign.)
Use this information to develop a 95% confidence interval to estimate the production variance for the hourly wages of production workers in U.S. What is the value of upper limit of this confidence interval?
Compute the value of t. What is your decision regarding the null hypothesis? Briefly summarize your results.
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