Answer:
C
Step-by-step explanation:
A regression model is a function which can be used to predict behavior of the model. It takes data points in and forms a general pattern for the pattern using an equation. This model y = 12.3 + 0.12x is a linear regression model which means it has linear behavior (a line) where x is total yards gained and y is number of points scored. If one additional yard is gained then the score is likely to be 12.3 + 0.12(1) = 12.42. If two additional yards is gained then the score is likely to be 12.3 + 0.12(2) = 12.54. Notice the score increases by 0.12 points for every yard gained. This is answer choice C.
a.)The average points scored for teams who gain zero yards during a game is -12.3 points.
b.) The average yards gained will increase by .12 for every additional point scored.
c.) The average change in points scored for each increase of one yard will be 0.12.
d.) The average number of points scored per game is 12.3.
Answer:
B. The graph has no y-intercepts
Step-by-step explanation:
We see that we have vertical and horizontal asymptotes.
We also see that the right side of the graph has an x-intercept of (2, 0).
Therefore, A and D are incorrect.
We use the vertical asymptote x = 0 to get our answer B, as we will never cross the y-axis as x approaches negative and positive infinity.
Ne demek istoyusun anlamadım derslerinde başarılar dilerim
Answer:
The plane should pass through the central axis, along the vertical diagonals of the cube, in order to produce a cross section that is a regular hexagon.
Step-by-step explanation:
The plane should pass through the central axis, along the vertical diagonals of the cube, in order to produce a cross section that is a regular hexagon.
Please see the image attached for better visualization.
