Answer:
0.940
Step-by-step explanation:
Given the data:
Age in years(X) _____Height(Y)
7 _________ 47.3
8 _________48.8
5 __________41.3
8 _________ 50.4
8 ___________51
7 __________47.1
7 __________46.9
7 ___________48
9 __________51.2
8 __________51.2
5 __________40.3
8 __________48.9
6 __________45.2
5 __________41.9
8 __________49.6
The proportion of Variation explained by the line of best fit in a regression model can be determined by calculating the Coefficient of determination (R²) of the model.
Using the online R² calculator, the variation in the sample values of height which is estimated by the model is 0.9696² = 0.94012416.
Hence about 0.94 or 94% variation in sample values of height is estimated by the model while (1 - 0.94 = 0.06 or 6%) is explained by other factors.
Answer:
B
Step-by-step explanation:
<span> The concept is to reward employers that keep employees around. With less turn over, the unemployment fund is used less frequently and it costs the </span>system<span> less money.</span>
Answer:
-12
Step-by-step explanation:
You can find the value of k(-3) by substituting t = -3 into the absolute value function k(t) = -|4t|.
k(-3) = -|4*-3| = -|-12| = -12