Our stats lecture this week is on correlations and regression. Describe the error in the conclusion...
Our stats lecture this week is on correlations and regression.
Describe the error in the conclusion here:
Given - Researchers find a positive linear correlation between the
number of cigarettes smoked and the pulse rate of individuals in
two separate samples of people.
Conclusion - Cigarettes cause the pulse rate to increase.
Homework Answers
The given statement is
Researchers find a positive linear correlation between the number of cigarettes smoked and the pulse rate of individuals in two seperate samples of people.
From this statement, it is concluded,
Cigarettes cause the pulse rate to increase.
Now, this conclusion is erroneous; this is because of the fact that correlation is only a measure of positive association between two variables, and does not imply causation.
ie. high positive correlation between the number of cigarettes smoked and the pulse rate of indiviuals, do not imply that cigarettes cause pulse rate to increase. There could be a variable underlying in the study, that causes pulse rates to increase.
Therefore the error in this conclusion is, the positive correlation between the two variables does not mean that one causes the another, because "Correlation does not imply causation".
Add Answer to:
Our stats lecture this week is on correlations and
regression.
Describe the error in the conclusion...
Describe the error in the conclusion. Given: There is a linear correlation between the number of...
Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase.
Describe the error in the conclusion. Given: There is a linear correlation between the number of...
Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase. Discuss causation vs. relationships.
Spring 2019 Name, 33) If the 2 variables that we want to study are not mumeric, which method will we use to study their association? a) z2 table and calculations e) Normal distributions b) correl...
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Use the following regression output from R studio and answer the
following questions.
1. Comment on the relation between the two test marks.
A. There appears to be no linear relation between the
two test marks
B. There appears to be strong negative linear relation between the
two test marks.
C. There appears to be weak positive linear relation between the
two test marks.
D. There appears to be strong positive linear relation
between the two test marks.
2. If the linear...
here is the data Y X 34.38 22.06 30.38 19.88 26.13 18.83 31.85 22.09 26.77 17.19...
here is the data
Y X
34.38 22.06
30.38 19.88
26.13 18.83
31.85 22.09
26.77 17.19
29.00 20.72
28.92 18.10
26.30 18.01
29.49 18.69
31.36 18.05
27.07 17.75
31.17 19.96
27.74 17.87
30.01 20.20
29.61 20.65
31.78 20.32
32.93 21.37
30.29 17.31
28.57 23.50
29.80 22.02
this is q1
2. Using a computer program, a data set with 20 observations on and was generated (GENERATEDATA.csv). Again, use the same instructions as above (in #1) to upload and import this dataset...
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Spring 2019 Name, 33) If the 2 variables that we want to study are not mumeric, which method will we use to study their association? a) z2 table and calculations e) Normal distributions b) correlation and regression d) hon-linear correlation 34) If there is a high correlation between variables, the causality relationship between therm a) x causes y b) coincidence e) x and y are caused by a third variable(s) d) all of these are possibilities For items 35)-36): Suppose...
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A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of a = 0.05. Correlation matrix: Variables Paper Glass 10.1379 Glass 0.1379 Click here to view a table of critical values for the...
Use the following regression output from R studio and answer the
following questions.
1. Comment on the relation between the two test marks.
A. There appears to be no linear relation between the
two test marks
B. There appears to be strong negative linear relation between the
two test marks.
C. There appears to be weak positive linear relation between the
two test marks.
D. There appears to be strong positive linear relation
between the two test marks.
2. If the linear...
here is the data
Y X
34.38 22.06
30.38 19.88
26.13 18.83
31.85 22.09
26.77 17.19
29.00 20.72
28.92 18.10
26.30 18.01
29.49 18.69
31.36 18.05
27.07 17.75
31.17 19.96
27.74 17.87
30.01 20.20
29.61 20.65
31.78 20.32
32.93 21.37
30.29 17.31
28.57 23.50
29.80 22.02
this is q1
2. Using a computer program, a data set with 20 observations on and was generated (GENERATEDATA.csv). Again, use the same instructions as above (in #1) to upload and import this dataset...
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