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Ierofanga [76]
2 years ago
10

PLEASE DON'T IGNORE!

Mathematics
1 answer:
Debora [2.8K]2 years ago
8 0
Answer is b hope this helps
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Angles 8th grade math
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Yeah... I'm normal good at angles, but the way you've taken the picture, it's pretty hard for us to figure out. All you need to do is grab you protractor and start measuring. Pretty simple.<span />
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3 years ago
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Of 1414 possible​ books, you plan to take 55 with you on vacation. how many different collections of 55 books can you​ take?
Svetach [21]
Divide 1414 by 55 and you get 25.7 but you can't take .7 collections so the correct answer is 25 collections of 55 books
4 0
3 years ago
An article reports the following data on yield (y), mean temperature over the period between date of coming into hops and date o
skelet666 [1.2K]

Answer:

x1=c(16.7,17.4,18.4,16.8,18.9,17.1,17.3,18.2,21.3,21.2,20.7,18.5)

x2=c(30,42,47,47,43,41,48,44,43,50,56,60)

y=c(210,110,103,103,91,76,73,70,68,53,45,31)

mod=lm(y~x1+x2)

summary(mod)

R output: Call:

lm(formula = y ~ x1 + x2)

Residuals:  

   Min      1Q Median      3Q     Max

-41.730 -12.174   0.791 12.374 40.093

Coefficients:

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

(Intercept) 415.113     82.517   5.031 0.000709 ***  

x1            -6.593      4.859 -1.357 0.207913    

x2            -4.504      1.071 -4.204 0.002292 **  

---  

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

Residual standard error: 24.45 on 9 degrees of freedom  

Multiple R-squared: 0.768,     Adjusted R-squared: 0.7164  

F-statistic: 14.9 on 2 and 9 DF, p-value: 0.001395

a).  y=415.113 +(-6.593)x1 +(-4.504)x2

b). s=24.45

c).  y =415.113 +(-6.593)*21.3 +(-4.504)*43 =81.0101

residual =68-81.0101 = -13.0101

d). F=14.9

P=0.0014

There is convincing evidence at least one of the explanatory variables is significant predictor of the response.

e).  newdata=data.frame(x1=21.3, x2=43)

# confidence interval

predict(mod, newdata, interval="confidence")

#prediction interval

predict(mod, newdata, interval="predict")

confidence interval

> predict(mod, newdata, interval="confidence",level=.95)

      fit      lwr      upr

1 81.03364 43.52379 118.5435

95% CI = (43.52, 118.54)

f).  #prediction interval

> predict(mod, newdata, interval="predict",level=.95)

      fit      lwr      upr

1 81.03364 14.19586 147.8714

95% PI=(14.20, 147.87)

g).  No, there is not evidence this factor is significant. It should be dropped from the model.

4 0
2 years ago
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Anna35 [415]
32% of 35 is 32% times 35, which is 11.2
7 0
2 years ago
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Write your answer as an integer or as a decimal rounded to the nearest tenth​
Savatey [412]

9514 1404 393

Answer:

  8.7

Step-by-step explanation:

We have the side adjacent to the angle and we want the hypotenuse. The relevant trig relation is ...

  Cos = Adjacent/Hypotenuse

Solving for the hypotenuse, we find ...

  VW = XW/cos(36°) = 7/0.80901

  VW ≈ 8.7

4 0
2 years ago
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