Question: Analysts use a sample of 32 weeks to build the linear model aimed at predicting the a linear function of advertisement cost (x).

[he model was found as (y-hat) = 4,058+40.796 x.

Measurement errors are assumed to be normally distributed. The t-statistic for

Significance of the estimated slope shows the value of (t = [slope] / (se) = 2.632).

1. What is the standard error (se) of the estimated slope?
   Standard error =
2. At the \(1 \%\) significance level, do analysts have enough evidence to conclude
   That advertisement cost would positively impact the weekly revenue? (yes / no)
   Test statistic =
   Critical value(s) =
   Rejection rule states:
3. Estimate the population slope with \(99 \%\) confidence and present it in the format (mid-point) \(\pm\) (margin of error).

Mid-point =

Margin of error =

Critical values (s) =

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