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3 years ago

I need help on this!!! ASAP!!!

Mathematics

1 answer:

kap26 [50]3 years ago

6 0

Answer:

So if you have cards between 1-10 should be a 10% that you will get 7

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Please show your work someone !!!!!!!!!!!!!!!!! Will mark Brianliest !!!!!!!!!!!!!!!!

DIA [1.3K]

Answer:

correct answer is (3)

Methord in the pic

3 0

3 years ago

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independen

Sunny_sXe [5.5K]

Answer:

1) $\hat \beta_1 =\frac{466}{234}=1.991$

2) $\hat \beta_o = 18.89 -1.991 (9)=0.970$

3) $SSR= SST-SSE= 1434-505.98=928.02$

4) $r=\frac{466}{\sqrt{[234][\sum(1434]}}=0.804$

And the determination coeffecient is $r^2 = 0.804^2 =0.647$

Step-by-step explanation:

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.

Data given

n=10 $\sum (x-\bar x)(y-\bar y) =466,\sum (x-\bar x)^2 =234 , \sum(y-\bar y)^2 =1434$

Part 1

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:

$\hat \beta_1 =\frac{466}{234}=1.991$

Part 2

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:

$\bar X=90/10 = 9. \bar y= 170/9=18.89$

And replacing we got:

$\hat \beta_o = 18.89 -1.991 (9)=0.970$

Part 3

For this case we have the SSE=505.98 who represent the sum of squares for the error.

The total sum of squares is given by $SST \sum (y-\bar y)^2 = 1434$

And since the total variation is the sum of squares for the regression and the error we have this:

$SST= SSR+SSE$

And solving for SSR we got:

$SSR= SST-SSE= 1434-505.98=928.02$

Part 4

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=10 $\sum (x-\bar x)(y-\bar y) =466,\sum (x-\bar x)^2 =234 , \sum(y-\bar y)^2 =1434$

So we can find the correlation coefficient replacing like this:

$r=\frac{466}{\sqrt{[234][\sum(1434]}}=0.804$

And the determination coeffecient is $r^2 = 0.804^2 =0.647$

4 0

4 years ago

IS this graph a function?

iris [78.8K]

Answer:

not a function

Step-by-step explanation:

We can use the vertical line test to tell if this is a function

If a vertical line touches the graph at more than one point it is not a function

Since this graph is a vertical line, it will fail the vertical line test.

Therefore, this is not a function

6 0

3 years ago

A guitar originally priced at $240 is on sale with a 30% discount. How much will you pay for the guitar?

N76 [4]

Answer:$168.00

With original price $240 and 30% discount,

Price after discount:<u> $168.00</u>

You saved: $72.00

3 0

3 years ago

Read 2 more answers

during a 7 hour snowstorm it snows at a rate of 1 inch per hour for the first 2 hours, at a rate of 2 inches per hour four the n

ioda

Answer:

9 inches of snow fell in the 7-hour snowstorm.

Step-by-step explanation:

To find your answer write an equation to find your answer.

1 inch per hour for two hours 1(2)

2 inches per hour for four hours 4(2)

and 1 inch in the last hour

so add those up

1(2)+4(2)+1

2+8+1

7 0

3 years ago