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3 years ago

2. Which investment would earn the most money by retirement at age 65?

1 answer:

7 0

First investment will return $54,515
Second investment will return $25,000
Third invest willment return $50,338

I think that third investment would earn the most money as it make at age 45. So 20 years difference in comparison with first investment and only about $4,000 difference in money.

So the third variant would earn the most money.

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Please help me with this

inn [45]

It's the first one and the last one need any more help let me know okay

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2 years ago

One more time what 4 + 4 × 4 + 4 ÷ 4=

katrin [286]

Answer:

should be 21

Step-by-step explanation:

8 0

2 years ago

Read 2 more answers

A hungry elf ate 14 of your muffins Thats was 7/10 of all of them! how many are left?

Dennis_Churaev [7]

6 muffins are left. Here's how you do it:
take 14 and divide it by 7 which equals 2.
Then multiply it by 3 which equals 6
hope this helps!

5 0

2 years ago

When playing basketball, Jason makes 80% of his free throws. In a recent game Jason attempted 20 free throws. How many free thro

zheka24 [161]

Answer:

It's expected that Jason make 16 out of 20 free throws

Step-by-step explanation:

1. Let's review the information given to us to answer the question correctly:

Jason's free-throw scoring average = 80%

2. In a recent game Jason attempted 20 free throws. How many free throws would you expect him to make?

Free throws expected to make by Jason = 20 * 80%

Free throws expected to make by Jason = 16

8 0

3 years ago

Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a per

Step2247 [10]

A scatter diagram has points that show the relationship between two sets of data.

We have the following data,

$\left\begin{array}{ccccccc}\mathrm{x}&3&7&15&32&74\\\mathrm{y}&40&35&30&25&17\end{array}\right$

where x is the average number of employees in a group health insurance plan and y is the average administrative cost as a percentage of claims.

To make a scatter diagram you must, draw a graph with the independent variable on the horizontal axis (in this case x) and the dependent variable on the vertical axis (in this case y). For each pair of data, put a dot or a symbol where the x-axis value intersects the y-axis value.

Linear regression is a way to describe a relationship between two variables through an equation of a straight line, called line of best fit, that most closely models this relationship.

To find the line of best fit for the points, follow these steps:

Step 1: Find $X\cdot Y$ and $X\cdot X$ as it was done in the below table.

Step 2: Find the sum of every column:

$\sum{X} = 131 ~,~ \sum{Y} = 147 ~,~ \sum{X \cdot Y} = 2873 ~,~ \sum{X^2} = 6783$

Step 3: Use the following equations to find intercept a and slope b:

$\begin{aligned} a &= \frac{\sum{Y} \cdot \sum{X^2} - \sum{X} \cdot \sum{XY} }{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} = \frac{ 147 \cdot 6783 - 131 \cdot 2873}{ 5 \cdot 6783 - 131^2} \approx 37.05 \\ \\b &= \frac{ n \cdot \sum{XY} - \sum{X} \cdot \sum{Y}}{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} = \frac{ 5 \cdot 2873 - 131 \cdot 147 }{ 5 \cdot 6783 - \left( 131 \right)^2} \approx -0.292\end{aligned}$

Step 4: Assemble the equation of a line

$\begin{aligned} y~&=~a ~+~ b \cdot x \\y~&=~37.05 ~-~ 0.292 \cdot x\end{aligned}$

6 0

3 years ago