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A clothing retailer wishes to investigate the relationship between order size (in dollars) and the level of satisfaction of the customer. The retailer randomly picks 30 consumers and records each customer's level of satisfaction (on a scale of 1 through 7, 7 being extremely satisfied and 1 being extremely dissatisfied) and their order size. The retailer expects that higher levels of satisfaction would lead to higher order sizes. In addition, the retailer expects the impact of satisfaction on order size to be lowered at higher levels of satisfaction. Express the regression model that the company must use, state the null and alternate hypothesis, estimate the model and provide interpretation. The data is in satisfaction.sav
If regression is required, please provide the multi comparison table. To open up the data file you will need spss.
Compare the percentage found in b) to percentage given by Empirical Rule and Chebyshev's Rule. (Make a table 3 x 3).
Obtain the simple linear regression equation, then analyze the residuals by (a) constructing a histogram
Calculated test statistic at the 5% level of significance and An airline claims that 65% of its flights depart on time.
Test, at the 5% level of significance, whether the population standard deviation of hours spent studying is less than 10. Use the Critical value approach.
In study of a clinical for an allergy drug 115 of the 204 subjects reported experiencing important relief from their symptoms.
To determine monthly rental prices of apartment units in San Francisco Bay area, samples were constructed in the following ways. Identify the technique used to produce each sample.
A random sample of 15 customers is selected, and the results are as follows: 8.02 4.08 5.79 8.73 5.47 5.64 8.01 10.49 8.35 5.9 9.66 9.91 3.82 6.68 6.17 a) calculate arithmetic mean, median, mode, first quartile and third quartile.
If the life of wild pheasants follows a normal distribution with a mean of 9 months and a variance of 9, what percent of the population will be less than 11 months of age?
Indicate which would be the independent variable and which would be the dependent variable in each of the following:
Sarah is a 60 year old Anglo female in reasonably good health. She wants to take out a $50,000 term life insurance policy until she is 65.
A researcher has reason to believe that, for an experiment with 50 points, a 95% prediction interval would be of width 4. If the researcher wishes to run a more precise experiment that will result in a 95% prediction interval of width 2, then the ..
Set up null hypothesis for associated F test.
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