The study of investigators conjectured that there would be an increase in weight but that the rate of increase would level off toward the end of the study. They also conjectured that this pattern of change may differ in the three treatment groups. Assuming an unstructured covariance matrix, construct a test for this hypothesis.

so firstly, we need to isolate the y variables to be able to solve these inequalities. firstly, add 0.5x on both sides of the first inequality and subtract 1.5x on both sides of the second inequality:

now since the slope is positive for the first inequality, this means that the line going upwards belongs to the first inequality, and the line going downwards belongs to the second inequality.

next, since y ≥ in the first inequality, this means that the shaded region will be above the first inequality's line, thus shading regions a and b.

next, since y ≤ in the second inequality, this means that the shaded region is going to be below this line, thus shading regions a and c.

since both lines shade region a, this means that region a is the solution.

step-by-step explanation:

mark brainliest!

a

step-by-step explanation:

320ft

step-by-step explanation:

120 divided by 3 equals 40

40 times 4=160

160 times 2=320