<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>
Answer: The answer is the other guys thing
Step-by-step explanation:
Answer:
a
Step-by-step explanation:
Given
u = (x₁, y₁, z₁ ) and v = (x₂, y₂, z₂ ) then the dot product is
u • v = (x₁ x₂ ) + (y₁ y₂ ) + (z₁ z₂ )
Then
v • w
= (5 × 9) + (- 4 × - 2) + (4 × 7)
= 45 + 8 + 28
= 81 → a
Answer:
60=3/4
x=4/4
4/4÷1/4
4/4*4/1
4/1*1/1
4/1
4
3/4=12 because if 1/4 is 4 then 3/4 is 12
60=12
60÷12=5
5*4/20
60+20=80
Shaun will read 80 pages in 1 hour
I can only read 25 because i hate reading
To find the percent of the total that George collected, you need to create a ratio with the number of pounds George collected compared to the number of total pounds that were collected.
You will then divide these to find the part (decimal) that George collected. You can convert the decimal to a percent.
3 1/4+6 1/3+11 1/6 = 20 3/4 total pounds of cans.
11 1/6 George
20 3/4 total
11 1/6÷20 3/4 = 0.538
0.538 is approximately 54%.
George collected proximately 54% of the total amount of cans.
