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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112=2∗56, I believe would be the answer to your question. (<span>The Prime Factors of 112: </span><span>2^4 • 7)</span>
First, work out the equation of the graph.
Equation of a straight line graph is given in the form

where

is the slope of the line and

is the y-intercept.
The graph given shows the line intercept y-axis at (0, -1)
To work out the slope, choose any two coordinates then find their vertical and horizontal distance. Say we choose (0, -1) and (3, 0)
The vertical distance is 1 and the horizontal distance is 3, so the slope is
Then form the equation for the line


→ Multiply each term by 3

Now the inequality part, the shaded region is above the line, so the values intended are 'greater than' and the line is a bold line, so the inequality is 'greater than or equal to' and the symbol is ≥
The inequality is then
3y ≥ x - 3
Note: None of the options show this answer. Maybe check if the original options have been copied correctly.