The data file wages contains monthly values of the average hourly wages (in dollars) for workers in the U. S. apparel and textile products industry for July 1981 through June 1987.

a. Display and interpret the time series plot for these data.
b. Use least squares to fit a linear time trend to this time series. Interpret the regression output. Save the standardized residuals from the fit for further analysis.
c. Construct and interpret the time series plot of the standardized residuals from part (b).
d. Use least squares to fit a quadratic time trend to the wages time series. (i. e y(t)=βo+β1t+β2t^2+et). Interpret the regression output. Save the standardized residuals from the fit for further analysis.
e. Construct and interpret the time series plot of the standardized residuals from part (d).

Find the value of the variable and the length of each secant segment.

On a piece of paper graph f(x)=5•(0.4)^x

The table shows population statistics for the ages of best actor and best supporting actor winners at an awards ceremony. the distributions of the ages are approximately bell-shaped. compare the z-scores for the actors in the following situation. best actor best supporting actor muequals42.0 muequals49.0 sigmaequals7.3 sigmaequals15 in a particular year, the best actor was 59 years old and the best supporting actor was 45 years old. determine the z-scores for each. best actor: z equals best supporting actor: z equals (round to two decimal places as needed.) interpret the z-scores. the best actor was (more than 2 standard deviations above more than 1 standard deviation above less than 1 standard deviation above less than 2 standard deviations below) the mean, which (is not, is) unusual. the best supporting actor was (less than 1 standard deviation below more than 1 standard deviation above more than 2 standard deviations below more than 1 standard deviation below) the mean, which (is is not) unusual.