Answer:
The predicted calories would be 403 calories.
Step-by-step explanation:
We have a linear regression model relating y: calories with x: carbohydrates, which has a slope of 4.0 and a y-intercept of 3.0.
Then, the model equation is:
With these model we can predict the calories values for any amount of carbohydrates, within the interval within which this model is valid.
If a new food is tested, and the number of carbohydrates (x) is 100, the predicted value will be:
The predicted calories would be 403 calories.
9514 1404 393
Answer:
2. correct
3. addition property of equality
4. substitution property of equality
Step-by-step explanation:
You're asked for the Reasons, so you need to examine the Statements to see how you get from one line to the next.
The first line of Statement 2 differs from Statement 3 in that m∠GHI has been added to both sides of the equation (ignoring the typo in statement 3). The reason you can add the same thing to both sides of an equation is given by the <em>Addition Property of Equality</em>.
Statement 3 differs from Statement 4 in that one of the m∠GHI has been replaced by m∠JKL. We can do this replacement because those measures are equal to each other. Replacement of equals by equals is allowed by the <em>Substitution Property of Equality</em>.
