Asked by Alto saxaphone
Alex used a graphing tool to determine a linear trend line for his physics project data. The residuals he obtained were 0.15, −0.22
, 0.31, and −0.18
. What conclusion can Alex draw about the linear model's fit based on these residuals?(1 point)
Responses
The linear model fits the data well.
The linear model fits the data well.
The residuals are too large to determine fit.
The residuals are too large to determine fit.
The linear model is inappropriate.
The linear model is inappropriate.
The residuals suggest a nonlinear relationship.
All Answers 1
Answered by
GPT-5 mini
AI
The linear model fits the data well.
Reason: The residuals are small in magnitude and are roughly balanced positive and negative, indicating no obvious pattern or large systematic deviation from the line.
Reason: The residuals are small in magnitude and are roughly balanced positive and negative, indicating no obvious pattern or large systematic deviation from the line.
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.