4116 male teenagers were sampled. Their heights and weights…

4116 male teenagers were sampled. Their heights and weights were measured. The linear regression results are below. Use these results to estimate the weight (in pounds) of a male teenager who is inches tall. Round your answer to the tenths place (one decimal place). Simple linear regression results for Gender=Male: Dependent Variable: Weight (lbs)Independent Variable: Height (inches)Weight (lbs) = -171.53854 + 4.8317653 Height (inches)Sample size: 4116R (correlation coefficient) = 0.44781967R-sq = 0.20054245Estimate of error standard deviation: 31.744927 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept -171.53854 10.479924 ≠ 0 4114 -16.3683

We intend to estimate the average driving time of a group of…

We intend to estimate the average driving time of a group of commuters. From a previous study, we believe that the average time is 42 minutes with a standard deviation of minutes. We want our 99% confidence interval to have a margin of error of no more than plus or minus minutes. What is the smallest sample size?   Hint: Don’t forget that if you are using the formulas, your answer must be a whole number, rounded up.

SAS Corporation produces and sells one product.   The budget…

SAS Corporation produces and sells one product.   The budgeted selling price per unit is $114. Budgeted unit sales for February is 9,900 units. Each unit of finished goods requires 6 pounds of raw materials. The raw materials cost $4.00 per pound. The direct labor wage rate is $24.00 per hour. Each unit of finished goods requires 2.4 direct labor-hours. Manufacturing overhead is entirely variable and is $9.00 per direct labor-hour. The variable selling and administrative expense per unit sold is $1.60. The fixed selling and administrative expense per month is $70,000.   The estimated net operating income (loss) for February is closest to: