Data was collected on the weight of a male laboratory rat for the first 25 weeks

after its birth. The linear regression equation is y= 40x+100, where x is number of

weeks and y is weight in grams.

What does the y-intercept mean in context of the problem?

The predicted weight of the rat in year 0.

The current weight of the rat.

The predicted weight of the rat at birth

The average increase in the rat's weight

where x is number of  weeks and y is weight in grams.

For this case the y intercept is the value 100 and represent the initial weight for 0 weeks and the best interpretation for this case is given by:

The predicted weight of the rat at birth

And the reason is because the starting value for the weigth represent the weight for the birth

Step-by-step explanation:

For this case we have the following equation given:

where x is number of  weeks and y is weight in grams.

For this case the y intercept is the value 100 and represent the initial weight for 0 weeks and the best interpretation for this case is given by:

The predicted weight of the rat at birth

And the reason is because the starting value for the weigth represent the weight for the birth

the mistake in the pattern is that :

b. the decimal point was moved one too many place values each time

the correct pattern could be made by :

b. moving the decimal point to the right the same numbers of place values as the exponents