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Evgen [1.6K]
3 years ago
9

A new health drink has 110% of the recommended daily allowance (RDA) for a certain vitamin. The RDA for this vitamin is 30 mg. H

ow many milligrams of the vitamin are in the drink
Mathematics
2 answers:
artcher [175]3 years ago
6 0
p\%=\frac{p}{100}\\\\110\%=\frac{110}{100}=1.10=1.1\\\\110\%\ of\ 30mg=1.1\ of\ 30mg=1.1\cdot30mg=\boxed{33mg}
ICE Princess25 [194]3 years ago
4 0
110% of 30 is 30*(110/100)=30*1.1=33 mg
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The number of wins for a high school football team is measured for the season. When the team plays at home, it is generally beli
Svetach [21]

Hi there :)

Question :

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☆ The scatter plot would closely resemble a straight line with a negative slope. The data has a strong, negative correlation, and a causal relationship exists between the team playing at home and winning.

☆ The scatter plot would closely resemble a straight line with a negative slope. The data has a strong, negative correlation, but causation cannot be determined.

☆ The scatter plot would not be represented by a line of best fit with a negative slope. There is a weak correlation between the football team playing at home and winning.

☆ There is no causation and almost no correlation between the football team playing at home and winning.

Direct Answer- <em><u>Option A</u></em>

<em>Answer Explanation -</em>

<u>r = -0.91</u>

Negative, so opposite directions, which can be explained as for example, the more the team travels(plays away games), the less games it wins.

| r | = 0.91, which is quite close to 1, so a significant relationship. Also, Negative relation means that the scatter plot would be represented by a straight line with a negative slope, and so,<em><u> correct answer is Option A</u></em>

<em>Method explanation :-</em>

Correlation coefficients measure the relationship between variables, the closer | r | is to 1, the stronger the relationship will be.

If the coefficient is positive, then there will be a positive relationship. If the coefficient is negative, then there is a negative relationship.

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2 years ago
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Andrews [41]
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A regression analysis of 117 homes for sale produced the following model, where price is in thousands of dollars and size in squ
Vsevolod [243]

Answer:

A) m = 0.062

B) 202.87 thousand dollars

C) Original price = 116.07 thousand dollars. $6000 is called the error term.                                            

Step-by-step explanation:

We are given the following in the question:

Price = 47.87+0.062(size)

The above equation is regression equation where price is in thousand dollars and size in square feet.

Let p be the prize and s be the size.

p(s) = 47.87 + 0.062s

Comparing it to linear equation, we have,

y= mx + c

where m is the slope and c is the y-intercept.

m = 0.062

c = 47.87

A) slope of the line

The slope of line tells the rate of change. Thus, it tells the change in price if the size of house is increased by 1 square feet.

The price of house increases by 0.062 thousand dollars if the size of house is increased by 1 square feet.

B) Price of house

We are given s = 2500. Putting this value in the equation.

p(2500) = 47.87 + 0.062(2500) =202.87

Thus, the price of a 2500 square feet house is 202.87 thousand dollars.

C) We are given s = 1100

Putting the value in the equation:

p(1100) = 47.87 + 0.062(1100) =116.07

Original price = 116.07 thousand dollars

Asking price =

116.07 - 6 = 110.07

The buyer is asking for 110.07 thousand dollars.

$6000 is called the error term.

3 0
3 years ago
I need help on this lol
LUCKY_DIMON [66]

Answer:

D is your answer.

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Steps to find the answer of this picture pretty please
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add the sides together

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