Homework Answers
Answer:
Then run the linear regression.
For all the 4 cases we see that the Multiple R-squared values are 0.66 and around it. This is because of the presence of outlier in the data set which can be clearly seen from the scatter plots.
So, now we remove the outlier and re-run the regression.
Data Set 2
Now,
the multiple R-squared value is 1. So there is a perfect
relationship exists between x2and y2.
So,
we have seen that after removing the outlier the multiple R-squared
become 1 indicating a perfect linear relationship exhibited.
Data Set 4
Here, after removing the outlier we can see that there exists a singularity in x values so that no regression can be fitted and hence no multiple R-squared values can be found but as the standard deviation of x becomes zero.
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Do four regression analyses using the Anscombe Quartet (1973) Data Analysis Tool in Excel Any Statistical...
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a) Using the data in the file (i.e., the values of Y and values
of X), create a scatter plot with the variable Y plotted vertically
and the variable X plotted horizontally. You are to add a
trendline, the equation of the line and R2 to this scatter plot.
You do not need to add a title to this plot.
b) Run the ‘Regression’ analysis tool (found under DATA/Data
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a) Using the data in the file (i.e., the values of Y and values
of X), create a scatter plot with the variable Y plotted vertically
and the variable X plotted horizontally. You are to add a
trendline, the equation of the line and R2 to this scatter plot.
You do not need to add a title to this plot.
b) Run the ‘Regression’ analysis tool (found under DATA/Data
Analysis). The output using this tool should result...
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the first two are the instructions to the assignment and the
last two are the data
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