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. Also, the sum of
squares total (SST) and the regression sum of squares (SSR) were
equal to 65600.74 and 52831.23, respectively. Based on this
information, the standard error of the estimate is equal to
__________. Round your final answer
to two decimal places.