Answer:
84 seconds
Step-by-step explanation:
Because if you divide all of that you would get that answer
Answer:
C
Step-by-step explanation:
(x,y) = p + t(a)
(x,y) = (-1,6) + t(3,-1)
(x,y) - (-1,6) = t(3,-1)
(x + 1, y - 6) = t(3, -1)
Answer:
8 baskets worth 3 points each and 4 baskets worth 2 points each
Step-by-step explanation:
It is 8 baskets worth 3 points each and 4 baskets worth 2 points each because it says Juarez scored twice as many baskets worth 3 points than the baskets worth 2 points. 4 x 2 = 8
-----------------------------------------------------------------------------
6 baskets worth 3 points each and 7 baskets worth 2 points each
: wrong because 7 x 2 = 14.
10 baskets worth 3 points each and 1 basket worth 2 points
: wrong because 1 x 2 = 2.
4 baskets worth 3 points each and 10 baskets worth 2 points each: wrong because 10 x 2 = 40.
Answer:
84.3%
Step-by-step explanation:
You first find the frequency. You do this by multiplying the frequency density by the class length.
Answer:
<em>In statistics, linear regression is a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.</em>
