Question

In: Statistics and Probability

A manufacturer has recorded its cost of electricity (cost) and the total number of hours of...

A manufacturer has recorded its cost of electricity (cost) and the total number of hours of machine use time (time) each week for a total of 52 weeks. Use the Mod7-1Data (Links to an external site.) to answer the following questions. USE α = 5%!

Time Cost
7 886.44
14 1598.05
15 1385.82
8 594.93
8 792.09
15 1307.7
13 1334.7
12 900.14
11 1306.41
11 950.22
13 1249.98
14 1388.16
6 750.87
14 1185.85
8 683.89
12 1245.1
14 1342.55
15 1154.05
11 940.88
14 992.5
8 886.89
13 980.66
14 1171.71
10 1185.57
11 987.64
11 1035.9
11 902.04
11 1195.62
8 1001.72
13 1421.23
9 684.21
8 497.48
12 1043.28
15 1054.48
11 1043.03
9 876.73
6 833.68
8 815.6
15 1396.96
11 1103.17
7 464.26
12 1159.15
9 959.89
11 1171.85
8 740.38
7 1001.72
11 865.59
13 1237.42
9 1295.29
12 1527.08
10 962
7 688.7

sample covariance=

sample correlation=

null hypothesis=

computed test statistic=

alternative hypothesis=

statistical conclusion=

Solutions

Expert Solution

1. For the given data, the covariance of Time and cost can be computed using the formula:

Using excel,

We get Covariance between Time and Cost = 498.902

2. For the given data, the linear relation between of Time and cost (two continuous variable) can be computed using Pearson's Correlation (r) obtained using the formula:

Using excel,

We get r = 0.737

3. Now, we have to test whether this correlation coefficient is significant at 5% level. Le denote the population correlation coefficient.We have to test:

Null hypothesis: Vs

Alternative hypothesis: (Two sided test)

The appropriate statistical test to test the above hypothesis would be a t test, with test statistic given by:

Computing the test statistic:

We get t statistic = 7.718

Computing the p-value: (We would determine whether the p-value is less than the significance level, if yes, the null hypothesis is rejected)

Since, p-value = 0.000 < 0.05, we may reject H0 at 5% level. We may conclude that there exists a significant relationship between  Time and Cost. Also, from the sample correlation coefficidnt, we find that the significant relationship is strong and positive.


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