Assessing the regression model on data other than the sample data that was used to generate the model is known as cross-validation
<h3>How to complete the blank?</h3>
From the question, we have the following highlights:
- Sample data, not used
- The model is a regression model
When the sample data is not used in a regression model, then the term is known as cross-validation.
Hence, the term that completes blank is cross-validation
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Answer:
x 5/4 y 10/3 over 2
Step-by-step explanation:
Answer:
"of" (and any subsequent words) was ignored because we limit queries to 32 words.
Step-by-step explanation:
Answer:
<em>y</em> = 45<em>x</em> + 7
Step-by-step explanation:
From the given data, we have ordered pairs (2, 97) and (4, 187). We can use them to find the slope, as such:

We can then use the slope and one of the ordered pairs to find the y-intercept, as such:

Therefore, <em>m</em> = 45 and <em>b</em> = 7. We get the equation:
<em>y</em> = <em>mx</em> + <em>b</em>
<em>y</em> = 45<em>x</em> + 7