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Vlad [161]
3 years ago
5

In a recent election the new mayor received three votes for every vote received by her opponent. The new mayor received 2058 vot

es. How many votes did her opponent receive?
Mathematics
1 answer:
Tcecarenko [31]3 years ago
4 0
3058 divided by 3 equals 686 votes her opponent received
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Just the 3rd and 4th plz help me
Mademuasel [1]

Answer:

3. 122.025

4. 469.2

Step-by-step explanation:

16.27/2 =8.135

8.135*15= 122.025


11.73 divided by 1/2= 23.46

23.46*20=469.2

6 0
3 years ago
I need the explanation too !
lubasha [3.4K]
<h2>Step-by-step explanation:</h2>

- 2y + x + 3 - 5x + 7 + 4y

=  - 2y + 4y + x - 5x + 7 + 3

=  2y -  4x + 10

THIS IS YOU'RE ANSWER

HOPE IT HELPS

MARK ME THE BRAINLIEST...

6 0
3 years ago
Read 2 more answers
4. At Lilly's Bakery, the ideal weight of a loaf of bread is 24 ounces. By law, the actual weight can vary from
Blizzard [7]

Answer:

The weight can vary from 22.5 to 25.5

4 0
3 years ago
Please solve the following equation:​
vfiekz [6]

Can you send me the another photo because it not understandable.

I will solve this. but question is also not completed.

4 0
3 years ago
d)An insurance company will only sell its Select policy to people for whom the probability of a stroke in the next 10 years is l
NARA [144]

Answer:

Check the explanation

Step-by-step explanation:

The First action is to enter the data in Excel and then save it as a csv file. Then call the data set in R using your saved path,  I have made use of my computer path here in my code. please change it for yours.

Here is the code That you need to use for finding the multiple limear regression model and summary of it.

code:

data=read. csv("C:\\Users\\HP\\Desktop\\chegg. csv")

data

attach(data)

model=lm(Risk~Age+Blood.Pressure+Smoker)

summary(model)

And Here is the output:

Call:

lm(formula = Risk ~ Age + Blood.Pressure + Smoker)

Residuals:

Min 1Q Median 3Q Max

-13.1064 -1.5715 0.4225 3.4855 8.5561

Coefficients:

Estimate Std. Error t value Pr(>|t|)    

(Intercept) -91.75950 15.22276 -6.028 1.76e-05 ***

Age 1.07674 0.16596 6.488 7.49e-06 ***

Blood.Pressure 0.25181 0.04523 5.568 4.24e-05 ***

Smoker 8.73987 3.00082 2.912 0.0102 *  

---

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 5.757 on 16 degrees of freedom

Multiple R-squared: 0.8735, Adjusted R-squared: 0.8498

F-statistic: 36.82 on 3 and 16 DF, p-value: 2.064e-07

The answer is now written in the notebook which i am uploading..

6 0
3 years ago
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