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3 years ago

PLEASE HELP ASAP! BRAINLIEST TO BEST/RIGHT ANSWER

Mathematics

2 answers:

FinnZ [79.3K]3 years ago

7 0

The correct answer is B

podryga [215]3 years ago

7 0

I know for a fact the answer is 10.75, except the answer is not applicable... why??? D-:

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The point (0,10) is called a ____-intercepta?

RUDIKE [14]

Answer: y-intercept

Explanation: A point is classified as (x, y) and in order for this ordered pair to be a y-intercept, we need to have the x-coordinate be 0.

Since the x-coordinate is 0, this is a y-intercept.

3 0

2 years ago

There are about 1.5 grams of fat in 1 tablespoon of hummus. How many grams of fat are in 2 1/2 cups of hummus? ( Note: 16. Table

grin007 [14]

2 and 1/2=2.5cups
2.5 times 16=40tablespoons

1.5g=1tbs
1.5 times 40=60
60 grams

8 0

3 years ago

Read 2 more answers

The number 6231 is divisible by 3.

Oliga [24]

Answer:

true

Step-by-step explanation:

The answer would be 2,077

6 0

2 years ago

Place the following in order from least to greatest. 8,000,000 mm, 5 km, 7000,000 cm, 6,000 m

Nutka1998 [239]

Answer: 5km, 6000m, 8,000,000 mm, 7000000 cm

Step-by-step explanation:

Note that:

1km = 1,000,000mm

1m = 1000mm

1cm = 10mm

Therefore,

5 km = 5 × 1,000,000mm = 5,000,000mm

7000,000 cm = 7,000,000 × 10 = 70,000,000mm

6,000 m = 6000 × 1000 = 6,000,000mm

Therefore, from the least to the greatest will be:

5km, 6000m, 8,000,000 mm, 7000000 cm

5 0

3 years ago

Find the regression line associated with the set of points. (Round all coefficients to four decimal places.) HINT (See Example 2

horrorfan [7]

The equation of the regression line is : Ŷ = 0.8571+0.8878X

Given the set of points :

(1, 2), (4,4), (9,9)

X axis : ___ Y axis

1 ___________2

1 ___________2 4 __________ 4

1 ___________2 4 __________ 4 9 __________ 9

The regression line associated could be obtained using technology such as excel, linear regression solvers or a graphing calculator.

Using technology :

Input the values of X and Y into their appropriate column and plot :

The regression equation obtained is :

Ŷ = 0.8571 + 0.8878X

Where :

Ŷ = predicted value of Y(dependent variable)

X = Independent variable

Slope = 0.8878

Intercept = 0.8571

The regression plot is attached below

Learn more : brainly.com/question/18405415?referrer=searchResults

7 0

2 years ago