Step 2: Interpreting the regression equations for the relationship between time and degrees earned. Often, social changes, such as education trends, show linear relationships. How well does a linear model fit the data in this problem? Justify your answer in terms of the scatterplots and in terms of the data that the regression calculator gives.

Using proper units, state the slopes for the functions M and F.
Slope of M:
Slope of F:

Explain what these slopes represent in terms of Americans earning bachelor degrees.

Acell phone company offers two plans to its subscribers. at the time new subscribers sign up, they are asked to provide some demographic information. the mean yearly income for a sample of 40 subscribers to plan a is $45,000 with a standard deviation of $9,200. for a sample of 25 subscribers to plan b, the mean income is $64,300 with a standard deviation of $7,100. at the 0.025 significance level, is it reasonable to conclude the mean income of those selecting plan b is larger? assume unequal population standard deviations. hint: for the calculations, assume the plan a as the first sample. what is the decision rule? (negative amount should be indicated by a minus sign. round your answer to 3 decimal places.) compute the value of the test statistic. (negative amount should be indicated by a minus sign. round your answer to 2 decimal places.) what is your decision regarding h0 ? reject h0 fail to reject h0 compute the p-value. less than 0.01 between 0.01 and 0.025 between 0.025 and 0.05 between 0.05 and 0.10 greater than 0.10