Indicate whether each of the following costs of an automobile manufacturer would be classified as direct materials, direct labor, or manufacturing overhead. (a) select an option Windshield. (b) select an option Engine. (c) select an option Wages of assembly line worker. (d) select an option Depreciation of factory machinery. (e) select an option Factory machinery lubricants. (f) select an option Tires. (g) select an option Steering wheel. (h) select an option Salary of painting supervisor.

Suppose you have just been hired as the chief diversity officer of a large company. previous mentoring programs at this company have not been successful. after inquiring about previous efforts, you discover that most mentor pairs met just a few times, but very few lasting or meaningful mentoring relationships were created. there were also a significant number of employees that did not even attempt to seek out a mentor relationship. which of the following may be a reason why prior mentoring programs at your company failed? check all that apply.a) minorities and women are much less likely to develop mentoring relationships than white malesb) mentoring is not an effective way for organizations to develop female and minority employeesc) due to specific laws governing appropriate workplace behavior, senior-level male executives were reluctant to cultivate mentoring relationships with female employees, fearing negative repercussionsd) fear of creating a future competitor within the company, senior-level female executives were hesitant to mentor other female employees

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]