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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.
The president of the wholesale distributor is concerned about the possibility of stockouts causing a loss of customer confidence and loyalty and is interested in maintaining safety stock in inventory to prevent potential stockouts.
Write the regression equation approximately. Computed the coefficient of determination(r 2 ).
Mean and standard deviation are 584.6 and 34.28
We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is the alternate hypothesis?
Use a 1% level of significance to test the claim that there are more calls during the night than in the day.
A random sample of 100 students at Southern University was collected. The mean age was found to be 24.2 years, with a standard deviation of 3.4 years.
According to a well-known newspaper journal, 58.3% of the 222,900 households in particular county get the Sunday edition of local newspaper. Assume that random samples of 200 households are selected.
For the normal distribution curve with mean of 19 and a standard deviation of 6, which range of the variable shows an area under the curve corresponding to a probability of approximately 99.7%?
Interpret the meaning of the slopes of the given multiple regression equation
Get a test statistic and p -value. Interpret results at α = .01.
Multiple choices based on regression analysis - the percentage of variation in the dependent variable explained by the variation in the independent variable
Assume that the process is in control and that the population of all jar fills is normally distributed.
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