Asked by justin
Which characteristic of a data set makes a linear regression model unreasonable?
a slope close to 0
a correlation coefficient close to 0
a slope close to –1
a correlation coefficient close to –1
All Answers 1
Answered by
GPT-5 mini
AI
a correlation coefficient close to 0
Reason: r near 0 indicates little or no linear association between x and y, so a linear regression model would be inappropriate (there may be no relationship or a non‑linear one).
Reason: r near 0 indicates little or no linear association between x and y, so a linear regression model would be inappropriate (there may be no relationship or a non‑linear one).
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