<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 there are 30 glazed donuts
Step-by-step explanation:
there are 12 donuts to a dozen therefore 12 * 12 = 144 donuts all together.
donuts with chocolate icing
with white icing and sprinkles
donuts with pink icing
Total donuts minus donuts with icing equal glazed donuts
Answer:
the probability that the shipment is accepted is 0.8865
Step-by-step explanation:
Given the data in the question;
N = 86, n/d = 5 and n = 2
now, without replacement
the probability that the shipment is accepted will be;
probability that the shipment is accepted = probability that non is defectives
so p( non is defective ) = ( (86-5)/86) × ((86-5-1)/(86-1))
p( non is defective ) = ( 81 / 86) × (80/85)
p( non is defective ) = 0.8865
Therefore, the probability that the shipment is accepted is 0.8865
Your answer would be -2/3 and that is in slope y-intercept is (0,2)
Answer:
65
Step-by-step explanation:
1/2 which is half of total is green
1/4 is bad and the remaining apples are red
1/2 of 260 = 130 green apples
1/4 of 260 = 65 bad apples
the remaining is 1/4 which is equal to 65 are red apples
