A consumer's spending is widely believed to be a function of their income. To estimate this relationship, a university p

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A consumer's spending is widely believed to be a function of
their income. To estimate this relationship, a university professor
randomly selected 19 of his students and collected information on
their spending (Y, in dollars) and income (X, in dollars) patterns
in week 6 of the semester. Assuming a linear relationship between Y
and X, the professor used the least-squares method and found that
the Y intercept = 20.90 and the slope = 0.66. The professor also
found that the standard error of the slope was 0.08. Based on
this information, what is the upper critical
value used to test the null hypothesis that
there is no linear relationship between the two variables, X and Y
at the 1% level of significance? Use
our textbook statistical table to answer
the question.