Reference no: EM132641193
Which two attributes are the most strongly correlated? MPG and Engine_Size Vweight and MPG
- Vweight and Engine_Size
- Cylinders and Engine_Size
Which two attributes are the most weakly correlated?
- Engine_Size and Cylinders
- Acceleration and Vweight
- Acceleration and MPG
- Engine_Size and MPG
What is the relationship between Horse_Power and MPG?
- As MPG decreases, Horse_Power decreases.
- As MPG increases, Horse_Power increases.
- There is no meaningful relationship between Horse_Power and MPG.
- As Horse_Power increases, MPG decreases.
What is the nature of the statistical relationship between Horse_Power and Acceleration?
- Of all the attributes Acceleration is correlated to, its relationship with Horse_Power is the weakest.
- Acceleration is correlated to Horse_Power in a statistically meaningful way, but it is even more strongly correlated to MPG.
- There is no meaningful statistical relationship between these two variables.
- There is a relatively strong relationship between these two variables.
What is the weakest correlation coefficient in the data set?
- -0.830
- -0.413
- -0.802
- 0.408
What is the strongest correlation coefficient in the data set?
- -0.802
- -0.830
- 0.950
- 0.935
Considering only attributes that have relationships where their values go in opposite directions, what is the strongest correlation coefficient in the data set?
- -0.830
- 0.408
- -0.802
- 0.950
Are there any attributes in the data set that should be removed because they have no meaningful correlations to any other attributes?
- Yes. MPG has too many negative correlations to be a meaningful attribute.
- No. All attributes have multiple correlations that would be considered very strong.
- Yes. Engine_Size has too much variability for any correlations to be meaningful.
- No. All attributes have at least one statistically meaningful correlation.
Which of the following is an alternative operator to Correlation Matrix in RapidMiner?
- Mutual Information Matrix
- Spearman Correlation
- Clustering
- Scatterplot
Assuming you were going to add a new attribute to the data set, which of the following would you expect to have the strongest correlations to the existing attributes?
- Wind resistance rating
- Color ID
- Customer satisfaction rating
- Country of origin ID