Answer:
The linear model is not appropriate.
Step-by-step explanation:
In regression, the difference amid the observed-value of the dependent-variable (y) and the predicted-value (
) is known as the residual (e).

A residual plot is a graphical representation of the residuals on the y-axis and the independent variable on the x-axis. If the data-points on the residual plot are randomly spread around the x-axis, a linear regression model is appropriate for the data. And if the residual plots shows a non-random or a U or inverted U pattern, a nonlinear model is more appropriate for the data.
The residual provided shown an inverted U pattern. That is the points are not scattered around he graph.
Thus, the linear model is not appropriate.
Answer:
C
Step-by-step explanation:
If it is accurate then it would have gotten the correct weight, but by going down to the thousandths it would be precise
are those the options? something is wrong here and I'm not sure what. I'm sorry if this is wrong, I tried my best
Answer:
-2,928
Step-by-step explanation:
12 ( 32 - [ 23 • 12 ] )
order of operations PEMDAS ( parenthesis, exponents, multiplication/division, addition/subtraction )
23 • 12 = 276
12 ( 32 - 276 )
12 ( -244 )
-2,928
1.)
zChest -> (91.2-75)/4.8=-3.4zWaist -> (80.9-56.5)/9.8≈-2.5zHips -> (93.7-72)/6.8≈-3.2It would be Ken's chest because the difference between the doll and an averaged human male is the greatest
2.)
zChest -> (82.3-90.3)/4.7≈-1.45zWaist -> (40.7-69.8)/4.7≈-6.19zHips -> (72.7-97.9)/5.4≈-4.7
Yes because the waist is far too thin compared to an averaged human woman
3.)
zJill -> (680-500)/100=1.8zJack -> (27-18)/6=1.5
4.)
It would be Jill because she has the higher z-score
5.)
$520-420=80$50=SDs$80(1 SD/50)=1.6 SD
-113.2 °F
Step-by-step explanation:
Well assign the coldest place on earth on the day as having <em>x</em> temperature
Therefore based on the statement;
2x – 53.6 = -280
2x = -280 + 53.6
2x = - 226.4
X = -113.2
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