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Finding the regression equation and also predict for given value of X
A researcher selects a random sample of college students and measures the number of hours they spend watching television per week and their grade point average. The results are as follows:
X
Y
Subject #
TV hours
GPA
1
50
1.90
2
20
2.20
3
19
2.40
4
10
3.30
5
7
2.90
6
15
2.50
3.50
8
40
1.95
9
30
2.00
3.90
What is the predicted GPA if a person watches 12 hours of television per week?
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Dividend is expected to grow 7% a year for next 3 years and then at 5% a year after that. Determine the expected dividend per share for each of the next five years?
At the 10% level of significance, is there sufficient evidence to indicate that more books are being loaned out per day, on the average?
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots. A partial ANOVA table
Students are the University of New Harmony received 10, 000 course grades last semester. The table below breaks down these grades by which school of the university taught the course.
Create a 99% confidence interval for mean overall duration of symptoms in population of individuals who used zinc lozenges.
Expand and aggregate plan using each of the following guidelines and complete the total cost for each plan. Which plan has the lowest total cost.
Use population distribution to determine expected juror frequencies. Test researcher's claim at a = 0.01.
Looking at the data, the manufacturer is incorrect in its label claim. Perform hypothesis testing to prove or disprove it. Is the manufacturer correct in its label claim? Explain.
If 20 measurements are taken and their standard deviation is 1.8, is there enough evidence to reject the claim that her standard deviation is within the limit at ∞ = .01?
Which of the following is the correct set of probabilities for X and if a student is selected at random, the probability he or she is either a Junior or a Senior
Now make a scatter plot of data from 1982 to 1998 (again, use years since 1800). Determine a linear, power, or exponential model that explains the crude oil production during this time period.
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