c
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p
I believe
maybe im wrong so you might wanna check with someone else
You can either use the substitution method or the elimination method to find part b.
Answer:
Follows are the solution is this query:
Step-by-step explanation:
In point a:
The explicatory variable mostly on X-axis is obtained only at the two-dimensional level or the Y-axis dependent variables, instead of catching the information, they also get diffusion plotted in the attached file please find it.
In point b:
Draw on the scatter diagram as just below the minimum-square correlation axis, which is defined in the attached file please find it.
In point c:
From the plot above, a positive relationship among even in the analysis of bone density, the dominant and non-dominant Arm. They can forecast its bone using bone density throughout the non-dominant arm and the Dominant arm power. They can conclude from the slopes of its regression model, which is inside a non-dominant arm, each unit raises bone strength by 0.936 throughout the dominant atm.
9514 1404 393
Answer:
a) 7(3x +7)
b) y(3y -1)
c) 4x^2(2 +x)
d) 2s^2t^2(12s +5t^2)
Step-by-step explanation:
These are factored by finding the greatest common factor of the given terms. Generally, that can be found by looking at the factors and finding the largest that is common to all terms.
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a) 21 = 7·3; 49 = 7·7. The GCF is 7. Factoring that out gives ...
7(3x +7)
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b) y is the only factor common to both terms.
y(3y -1)
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c) 4 and x^2 are factors common to both terms, assuming the second term is 4x^3.
4x^2(2 +x)
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d) 10 = 2·5; 24 = 2·12; the factors s^3 and s^2 share a factor of s^2; the terms t^2 and t^4 share a factor of t^2.
2s^2t^2(12s +5t^2)