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Calculate the correlation between the variables.
Discuss perfect correlation and negative correlation. Use the following data to answer these questions regarding correlation: The state of Vermont is divided into ten health planning districts, corresponding roughly to counties. The data for 2002 represent the percentage of newborns under 2500 grams (Y), the fertility rate for females ≤17 or ≥35 years of age (X1), and the percentage of births to unmarried mothers (X2) for each district:
District
Y
X1
X2
1
6.1
43.0
9.2
2
7.1
55.3
12.0
3
7.4
48.5
10.4
4
6.3
38.8
9.8
5
6.5
46.2
6
5.7
39.9
7.7
7
6.6
43.1
10.9
8
8.1
9.5
9
40.0
11.6
10
6.9
56.7
a. Calculate the correlation between Y and X1. Discuss your results in terms of what the correlation coefficient means with respect to the relationship between Y and X1.
b. Calculate the correlation between Y and X2. Discuss your results in terms of what the correlation coefficient means with respect to the relationship between Y and X2.
Whenever the calculated value of t is equal to or greater than the tabled value of t, for a given number of degrees of freedom, then
Conduct a hypothesis test using H 0 : σ 2 = .009216 to see whether the sample data indicate that the variability in interest rates changed.
Plot a scatter diagram of the results with Depth of Water as the independent variable.
Compute an F-statistic for each linear construct and determine its significance. Also, state what questions each of these contrasts address.
Draw two pie charts, which allow the total yearly exports to be compared. Explain the trend in the export of fish as shown in the two pie charts.
Compute mean and standard deviation for sample of N = 8 females and sample of N = 8 for males.
The population of IQ scores forms a normal distribution with mean of μ = 100 and a standard deviation of σ = 15. What is the probability of obtaining a sample mean greater than M = 105,
Given that Vacationer will travel less than 500 miles, Find out the probability that he/she will drive or take the Bus/Train?
Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
The management of a department store is interested in estimating the difference between the mean credit purchases of customers using the store's credit card versus those customers using a national major credit card.
Assume that the smiling time of eight-week old babies, in seconds, follows a uniform distribution between 0 and 23 seconds, inclusive. This means that any smiling time from 0 to and including 23 seconds is equally likely.
Use this information to construct a probability table, and then calculate each of the following probabilities:
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