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3 years ago

11

Barbara has a rectangular shaped mouse pad the longest side of the mouse pad is 8 inches and the shortest side is 3 inches what

is the perimeter and area of the mouse pad can u guys please help

1 answer:

Fed [463]3 years ago

7 0

The area is 24² because 8*3 is 24
The perimeter is 8+8+3+3 which is 16+6 and that equals 22
22 is the Perimeter and the Area is 24²

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a bag contains six red marbles and seven blue marbles. You randomly pick a marble and then return it to the bag before picking a

tankabanditka [31]

Answer:

6/13 7/13 chance to get the marbles

Step-by-step explanation:

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2 years ago

Correct answers only please!

Naily [24]

Answer:

1st Question

A. 85

2nd Question

B. 71

Step-by-step explanation:

1st Question

{90 + 94 + 96 + 90} = 370/4 = 92.5

{95 + 99} = 194/2 = 97

{87 + 75 + 82 + 85} = 329/4 = 82.25

{71} = 71/1 = 71

.20(92.5) +.25(97) +.30(82.25) +.25(71) = 85.175 Rounded-up = 85

___________________________________________________

2nd Question

.10(95) +.20(80) +.50(67) +.20(60) = 71

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3 years ago

A bag contains 6 blue coins and 7 red coins. A coin is removed at random and replaced by three of the other color.

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1/4 or maybe even 100grams of blow

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3 years ago

Kristy ran a mile in 6.58 minutes. She ran her second mile in 7.15 minutes. What was the time difference between her first and s

Veseljchak [2.6K]

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17 seconds

Step-by-step explanation:

7.15 minus 6.58 is .17 or 17 seconds

6 0

2 years ago

Read 2 more answers

At a recent county fair, you observed that at one stand people's weight was forecasted, and were surprised by the accuracy (with

MatroZZZ [7]

Answer:

a)Slope: $\hat \beta_1 =\frac{7625.9}{1248.9}=6.106$

Intercept: $\hat \beta_o = 157.955 -6.106 (69.686)=-267.548$

b) $r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657$

And the determination coeffecient is $r^2 = 0.657^2 =0.432$

Step-by-step explanation:

Data given and definitions

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"

When we conduct a multiple regression we want to know about the relationship between several independent or predictor variables and a dependent or criterion variable.

n=110, $\sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9 , sum y^2_i=\sum(y-\bar y)^2 =94228.8$

$\sum Y_i =17375 , \sum X_i = 7665.5$

Part a

The slope is given by this formula:

$\hat \beta_1 =\frac{\sum (x-\bar x) (y-\bar y)}{\sum (x-\bar x )^2}$

If we replace we got:

$\hat \beta_1 =\frac{7625.9}{1248.9}=6.106$

We can find the intercept with the following formula

$\hat \beta_o = \bar y -\hat \beta_1 \bar x$

We can find the average for x and y like this:

$\bar X=7665.5/110 =69.686, \bar y= 17375/110=157.955$

And replacing we got:

$\hat \beta_o = 157.955 -6.106 (69.686)=-267.548$

Part b

In order to calculate the correlation coefficient we can use this formula:

$r=\frac{\sum (x-\bar x)(y-\bar y) }{\sqrt{[\sum (x-\bar x)^2][\sum(y-\bar y)^2]}}$

For our case we have this:

n=110, $\sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9 , sum y^2_i=\sum(y-\bar y)^2 =94228.8$

So we can find the correlation coefficient replacing like this:

$r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657$

And the determination coeffecient is $r^2 = 0.657^2 =0.432$

6 0

3 years ago