The table below gives the completion percentage and interception percentage for five randomly selected NFL quarterbacks. Based on this data, consider the equation of the regression line, yˆ=b0+b1x y ^ = b 0 + b 1 x , for using the completion percentage to predict the interception percentage for an NFL quarterback. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Completion Percentage 56.9 56.9 57 57 59 59 60.9 60.9 63.2 63.2 Interception Percentage 4.9 4.9 3.8 3.8 3 3 2 2 1.4 1.4
In: Statistics and Probability
In: Statistics and Probability
Discuss why the bad debt percentage or any other similar credit-control percentage is not the ultimate measure of success in the management of accounts receivable.
What is the key consideration?
(5 points or more)
In: Finance
Directions: Annual Percentage Yield (APV). Find the annual percentage yield (to the nearest 0.01%) in each case.
1.) A bank offers an APR of 3.2% compounded monthly.
Directions: Continuous Compounding. Use the formula for continuous compounding to compute the balance in each account after 1,5, and 20 years. Also, find the APY for this account.
1.) A $2,000 deposit in an account with an APR of 3.1%
In: Advanced Math
Math201:
Directions: Annual Percentage Yield (APV). Find the annual percentage yield (to the nearest 0.01%) in each case.
1.) A bank offers an APR of 3.2% compounded monthly.
Directions: Continuous Compounding. Use the formula for continuous compounding to compute the balance in each account after 1,5, and 20 years. Also, find the APY for this account.
1.) A $2,000 deposit in an account with an APR of 3.1%
In: Advanced Math
Perform a horizontal analysis providing both the amount and
percentage change. (Round Percentage answers to 1 decimal
place. Decreases should be indicated by a minus
sign.)
| Year | ||||
| 2018 | 2017 | |||
| Cash | $ | 278,860 | $ | 730,000 |
| Accounts receivable | 324,090 | 130,000 | ||
| Inventory | 715,680 | 630,000 | ||
| Long-term assets | 3,280,330 | 2,230,000 | ||
| Total assets | $ | 4,598,960 | $ | 3,720,000 |
In: Accounting
The table below gives the completion percentage and interception percentage for five randomly selected NFL quarterbacks. Based on this data, consider the equation of the regression line, y^=b0+b1x, for using the completion percentage to predict the interception percentage for an NFL quarterback. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.
| Completion Percentage | 58 | 60 | 61 | 62 | 65 |
|---|---|---|---|---|---|
| Interception Percentage | 5 | 4.5 | 3.5 | 3 | 2.5 |
a) Find the estimated slope. Round your answer to three decimal places.
b) Find the estimated y-intercept. Round your answer to three decimal places.
c) Determine if the statement "All points predicted by the linear model fall on the same line" is true or false.
d) Find the estimated value of y when x=55.9. Round your answer to three decimal places.
e) According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable y^ is given by?
f) Find the value of the coefficient of determination. Round your answer to three decimal places.
In: Statistics and Probability
DRIVE:
| 44 |
| 20 |
| 88 |
| 6 |
| 71 |
| 42 |
| 76 |
| 63 |
| 61 |
| 63 |
| 84 |
| 28 |
| 55 |
| 33 |
| 88 |
| 80 |
| 86 |
| 83 |
| 5 |
| 85 |
| 25 |
| 25 |
| 54 |
| 54 |
| 81 |
| 73 |
| 29 |
| 76 |
| 78 |
| 77 |
| 42 |
| 65 |
| 71 |
| 94 |
| 6 |
|
Predicted percentage between 25 and 50: Actual percentage: Predicted percentage more than 50 miles: Actual percentage: Comparison: Why? |
In: Statistics and Probability
The table below gives the completion percentage and interception percentage for five randomly selected NFL quarterbacks. Based on this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for using the completion percentage to predict the interception percentage for an NFL quarterback. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.
| Completion Percentage | 56 | 57 | 60 | 62 | 64 |
|---|---|---|---|---|---|
| Interception Percentage | 5 | 4 | 3.5 | 3 | 2 |
Table
Copy Data
Step 1 of 6 :
Find the estimated slope. Round your answer to three decimal places.
2 of 6
3 of 6
4 of 6
5of 6
6 of 6
In: Statistics and Probability
Percentage Method
The percentage method is used when an employee's wages exceed the Publication 15 tables provided. The process for this method is to take the earnings, subtract the allowances the employee declared on their W-4 which results in the wages upon which taxes will be computed.
| Table of Allowance Values for 2019 | |||||||||||
| Weekly | 80.80 | Biweekly | 161.50 | Semimonthly | 175.00 | Monthly | 350.00 | ||||
| Quarterly | 1,050.00 | Semiannual | 2,100.00 | Annual | 4,200.00 | Daily/Misc. | 16.20 | ||||
Wage Example's sister-in-law Perfect is married and claims 3 allowances. She earns $4,140.75 biweekly.
| Description | Calculation | |||
| 1. | Determine the amount of gross wages. $4,140.75, rounded to the nearest dollar. | $4,141.00 | ||
| 2. | Determine the allowancea amount based on the payroll period. | $161.50 | ||
| 3. | Multiply the allowance value by the employee allowances claimed. | × 3 | (484.50) | |
| 4. | Subtract allowances from gross pay, referred to as excess wages. | $3,656.50 | ||
| 5. | Using the percentage_table, identify the correct bracket. Wages starting at $3,490 but not over $6,931. |
$3,656.50 (3,490.00) |
||
| 6. | Compute the excess wage over the starting wage for this bracket. | $166.50 | ||
| 7. | Multiply the excess by the tax rate in the table (22%) | x .22 | $36.63 | |
| 8. | Add the bracket minimum tax, $349.40 | 349.40 | ||
| 9. | Add the two amounts together which equals Perfect's total withholding. | $386.03 | ||
| a Refer to the Table of Allowance Values
for 2019. Perfect is paid biweekly which corresponds to a biweekly allowance of $161.50 per allowance claimed. |
||||
? Medal Points: Complete the following. The Percentage Method must be used for a single employee, paid weekly, whose wages exceeds $fill in the blank 6c347c0edfc1fbb_1 on the Wage-Bracket Tables .
? Tackle It
Serena Williams is married, claims 4 allowances, and is paid $11,990.25 on a monthly basis.
Note: Enter ALL values as positive numbers and round amounts to two decimal places unless instructed otherwise.
| Description | Calculation | |||
| 1. | Determine the amount of gross wages. $11,990.25, rounded to the nearest dollar. | $fill in the blank 6c347c0edfc1fbb_3 | ||
| 2. | Enter the value of the allowances based on the payroll period. | $fill in the blank 6c347c0edfc1fbb_4 | ||
| 3. | Multiply the allowance value by the employee allowances claimed. | × 4 | (fill in the blank 6c347c0edfc1fbb_5) | |
| 4. | Subtract allowances from gross pay, referred to as excess wages. | $fill in the blank 6c347c0edfc1fbb_6 | ||
| 5. | Identify the correct bracket. Wages starting at $fill in the blank 6c347c0edfc1fbb_7 but not over $fill in the blank 6c347c0edfc1fbb_8. |
$fill in the blank
6c347c0edfc1fbb_9 (fill in the blank 6c347c0edfc1fbb_10) |
||
| 6. | Determine the value over the starting wage for this bracket. | $fill in the blank 6c347c0edfc1fbb_11 | ||
| 7. | Multiply the overage by the tax rate in the table (enter as a decimal). | x fill in the blank 6c347c0edfc1fbb_12 | $fill in the blank 6c347c0edfc1fbb_13 | |
| 8. | Add the bracket minimum tax. | fill in the blank 6c347c0edfc1fbb_14 | ||
| 9. | Add the two amounts together = Total withholding for Serena Williams. | $fill in the blank 6c347c0edfc1fbb_15 |
In: Accounting