Directions: Choose the best answer. Each question is worth .8 points.Body Temperature A temperature of 97.6 °F is classified as

Directions: Choose the best answer. Each question is worth .8 points.Body Temperature If a rectal temperature of 99 °F was taken orally, it would register as

Directions: Choose the best answer. Each question is worth .8 points.Body Temperature When taking axillary body temperature, the arm should be held close to the body to

Use the following adjusted trial balance and prepare a properly formatted Income Statement.  Raven Tales Corporation Adjusted Trial Balance March 31   Dr. Cr. Cash $10,800   Accounts receivable 3,500   Office supplies 650   Automobile           30,200   Accounts payable   $2,600 Salaries Payable   1,200 Common stock   21,150 Retained earnings   12,330 Dividends 7,000   Revenues Earned   32,200 Rent expense 8,000   Advertising expense 1,200   Office salaries expense 7,600   Office supplies expense 530   Totals $69,480 $69,480

Use the following adjusted trial balance and prepare a properly formatted Statement of Stockholder’s Equity. Don’t forget about beginning balance of Retained Earnings.  Raven Tales Corporation Adjusted Trial Balance March 31   Dr. Cr. Cash $10,800   Accounts receivable 3,500   Office supplies 650   Automobile           30,200   Accounts payable   $2,600 Salaries Payable   1,200 Common stock   21,150 Retained earnings   12,330 Dividends 7,000   Revenues Earned   32,200 Rent expense 8,000   Advertising expense 1,200   Office salaries expense 7,600   Office supplies expense 530   Totals $69,480 $69,480

 Which model is better? why? 

A microeconomist wants to determine how corporate sales are influenced by capital and wage spending by companies. She proceeds to randomly select 26 large corporations and record information in millions of dollars. The output below shows results of this multiple regression.   Regression Statistics Multiple R                   0.830 R Square                     0.689 Adjusted R Square      0.662 Standard Error            17501.643 Observations               26   ANOVA                            df                     SS                       MS                     F           Significance F Regression                 15579777040       7789888520        25.432     0.0001 Residual                       7045072780         306307512 Total                           22624849820                             Coeff               StdError         t Stat           P-value Intercept      15800.0000    6038.2999       2.617          0.0154 Capital                0.1245          0.2045                              0.5485 Wages                 7.0762          1.4729                              0.0001   Based on these information, please answer the following two questions.  

Is there collinearity among the factors? Shall we remove any factor(s)?  

What would be the interpretation of the p-value for the t test? alpha = 0.05  

What is the percentage of variation in sales explained by modeling on advertising expenditures? (Give to two decimal places.)