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.
 
        
             
        
        
        
It looks to me like      y  =  4x + 1
        
             
        
        
        
Answer:
y=5x+2
Step-by-step explanation:
Slope formula: 
y=mx+b
- m stands for slope
- b stands for y intercept.
Plug the information in:
y=5x+2
 
        
             
        
        
        
Answer:
b. exam completion time is negatively skewed
Step-by-step explanation:
A data distribution is said to be negatively skewed when <em>median</em> value of the distribution is higher than the <em>average</em> value of the distribution.
In this example 
- average mid-term completion time is 40 minutes  
- median mid-term completion time is 55 minutes. 
thus median > mean, so the mid-term completion time is negatively skewed. Negatively skewed distributions are also called left-skewed.