Describe each of the following vocabulary terms. for each, explain what they look like on a graph, why we'd care about them, and how they would affect our decision to model.
a) horizontal
b) trend
c) cycle / seasonal

a) Horizontal: When the scatter plot of a data set presents a graph that oscillates around a constant value with respect to the response variable. Suggest that the model is stationary on mean.

b) Trend: The data has a tendency when the scatter plot presents a behavior that approximates a relationship that can be, linear, quadratic, etc. The trend suggests that the model is not stationary on mean and this must be corrected before the estimation process.

c) Cycle / Seasonal: The cycle refers to the repetitive, periodic behavior of the data with respect to approximately equal time spaces. The cycle refers to extra annual periods and seasonality to intra annual periods. Seasonality and the cycle suggest that the model is not stationary on mean and this must be corrected before the estimation process.

Step-by-step explanation:

the camry sales+accord sale=828,000. to make it so the two numbers are 18 thousand apart and still equal 828,000, you first need to find out what half of 828,000 is. 828,000/2=414,000. for the two numbers to equal 828,000, you have to add the same amount as you subtract from the middle. in this case, the number is 9,000 because it's half of 18,000. to equal 828,000, you have to add 9,000 to 414,000 for the camry and subtract 9,000 from 414,000 for the accord. 414,000+9,000=423,000.

414,000-9,000=405,000.

423,000+405,000=828,000.

423,000-405,000=18,

hope it