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3 years ago

............……Ayuda porfis

Mathematics

2 answers:

Bezzdna [24]3 years ago

7 0

Answer:

Step-by-step explanation:

V125BC [204]3 years ago

7 0

Answer:

-11

Step-by-step explanation:

that's it's the answer

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determine the event space for rolling a sum of 12 with two dice. how many elements are in the event space?

WARRIOR [948]

Answer: 1

Step-by-step explanation:

Only one element is in the event space for rolling the sum of 12 with two dice

(6,6)

If you must roll the sum of 12 with two dice, you must have rolled 6 in the two dice

7 0

3 years ago

Fred says that 1/2 and 7/8 are equivalent fractions. Draw area models for 1/2 and 7/8 to show if Fred's statement is correct. Na

jok3333 [9.3K]

Answer:

For your area models you would draw two rectangles and divide one into 2 equal sections, and the other one with 8 equal sections. You then shade 1 box out of the first triangle with 2 equal sides. Then you would shade 7 boxes on the rectangle with 8 equal sides. These diagrams would show you that 7/8 and 1/2 are not equivalent.

To find out what fractions are equivalent to 1/2 you would take 1/2 and times the numerator and denominator by the same number.

1/2*2/2= 2/4

2/4=1/2

1/2*9/9= 9/18

9/18=1/2

2/4 and 9/18 both equal 1/2

Hope this helps ;)

4 0

4 years ago

WHOEVER ANSWERS GETS CORRECT GETS BRAINLIEST!!

k0ka [10]

Answer:

Step-by-step explanation:

The equation 1 was multiply by 5

4 0

3 years ago

Automobile racing, high-performance driving schools, and driver education programs run by automobile clubs continue to grow in p

yuradex [85]

Answer:

Step-by-step explanation:

Hello!

Given the variables

X₁: Weight of a safety helmet for racers

X₂: Price of a safety helmet for racers

Note, there is n= 17 observed values for each variable so for all calculations I'll use this number and disregard the 18 mentioned in the text.

a) Scatterplot in attachment.

b) If you look at the diagram it seems that there is a negative linear regression between the price and the weight of the helmets, meaning, the higher the helmet weights, the less it costs.

c) The estimated regression equation is ^Yi= a + bXi

n= 17; ∑Y= 6466; ∑Y²= 3063392; ∑X= 1008; ∑X²= 60294; ∑XY= 367536

Y[bar]= 380.35; X[bar]= 59.29

$b= \frac{sumXY-\frac{(sumX)(sumY)}{n} }{sumX^2-\frac{(sumX)^2}{n} } = \frac{367536-\frac{1008*6466}{17} }{60294-\frac{(1008)^2}{17} } = -30.18$