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Problem 1
A researcher is interested in evaluating whether there is a relationship between number of packs of cigarettes smoked per day and longevity (in years). n=10.
# packs of cigarettes smoked (X)
Longevity (Y)
0
80
70
1
72
2
68
65
3
69
60
4
58
55
1. Evaluate the correlation coefficient.
2. Evaluate the coefficient of determination
3. Evaluate the regression coefficient b1
4. Evaluate the regression coefficient b0
5. The regression equation
6. Excel regression analysis
Problem 2: A researcher is interested in determining whether there is a relationship between advertising and sales for her firm.
advertising in $thousands(X)
Sales in millions(Y)
5
6
7
8
10
11
12
Problem 3:
A researcher is interested in determining whether there is a relationship between price and quantity demanded for her firm.
Price(X)
Q-demanded(Y)
95
90
78
71
9
50
44
Problem 4:
A researcher is interested in determining whether there is a relationship between grades and hours studied for statistics.
Hours studied(X)
Grade on final(Y)
20
25
40
62
83
Perspective about the problem you are trying to analyze; in other words, you should review the literature concerning your subject. The library or the web will be a good source of information.
State a research question for which a single-group post-test only design can yield relatively unambiguous findings.
Develop a sales forecast for each store for December Plot the data for each store.Use data in table.
What is the unregulated competitive equilibrium and what is the social optimum specific tax (per unit of output of gunk) results in the social optimum
Prepare a report (see below) with your ranking of the judges based on the probabilities and conditional probabilities as well as the analysis of each court. Include the following seven (7) items in table format to support your ranking. Be sure to use..
How do small companies compare to the major competitor and Has satisfaction with the manufacturer changed since the change in company ownership?
Determine the factors in the bag-sealing equipment that might be affecting the ease of opening the bag without tearing the inner liner of the bag.
To answer the question as to whether or not there is a difference in time to progression, a Chi square statistic is computed. The critical value for rejection of the null hypothesis is 3.84. The computed Chi square is 0.335.
What test or tests would you use to rule out chance from causing the apparent differences in these data and is there a significant correlation?
Develop 95% confidence intervals for the proportion of all students, the proportion of male students, and the proportion of female students who were involved in some type of cheating.
Where y∗i = a1 · yi + a2, for i = 1, ..., n, and a1 and a2 are known positive constants?
What is the name of the counting rule used to find all the possible outcomes and how many different items can be uniquely numbered?
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