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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.
Create a 99 percent confidence interval for difference in means between Line B and Line C.
Calculate a value of lambda using the data from last week concerning the news networks and the reporting practices. Compare your resulting lambda to the resulting chi-square from last week.
When the Sharpe Ratio for the market portfolio is 0.5, what risk-free rate Rf is the market anticipate? Draw on a diagram for the Capital Market Line derived from the above data. Make sure to clarify the intercept and the slope.
where the deviations εi are assumed to be independent and Normally distributed with mean 0 and standard deviation σ. This model was fit to the data using the method of least squares. The following results were obtained from statistical software.
Determine the following probabilities: Events A and B are mutually exclusive events defined on common sample space.
In you determine the GPA of 10 members of the class and then calculate the average, will the number you get necessarily be the same as the average GPA for the whole class? On what factors would you expect the reliability of the estimate to depend..
Use a 5% significance level to test the claim that there appears to be a difference in the effectiveness of the two diets.
Given 7 male individuals in a Physical Education course, the number of sit ups each individual can do in a one minute period was recorded:
At the 5% significance level, can the station conclude that the mean age of its listeners is not 25 yrs. Formulate and test the appropriate hypotheses. Use the critical value approach.
Let C be the event that a diner gets the correct meal and let N be the event that a diner gets an incorrect meal. Find the probability that:
An element E has a constant failure rate (lamda) and a reliability at time t of R(t)=p, if p=0.2 and 0.8, What is the effect on Rs(t), and basic reliability, serial MTBF, of adding additional elements to the series baseline system containing a sin..
For this same sample of n = 45, find out the width of confidence interval around population mean? Illustrate all work.
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