Answer:
What is the question?
Step-by-step explanation:
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<span>Answer:
Multiple R is the correlation between y and y^
in a regression model. It is always non-negative, but has no nice interpretation as a proportion of variance, unlike its square. I can't think of too many uses for it and only know of one stat package that routinely reports it, SPSS.
Bivariate correlation only tells you about two variables at a time (though you can use partial correlation to remove other variables).</span>
Greetings!
Solve for d.

Distribute the Parenthesis.



Reduce.

Add
-2/3 to both sides.

Simplify.


Add
-1/4d to both sides.

Simplify.


Divide both sides by
-1/12.

Simplify.


Reduce.


Hope this helps.
-Benjamin
Answer:
40 more kids chose baseball over basketball.
Step-by-step explanation:
The best way to go about this is to use benchmark percentages.
For baseball, 25% of 800 people chose that, so we can do 800/4 to get 200, so 200 students chose baseball
For basketball, we could do 800/5 but that isn't mental math, so we can do 10% of 800 is 80 and 80*2=160. So 40 more kids chose baseball over basketball.
3 quarters and a dime a nickel and 4 pennies