14 is the range of the pumpkin weights.
When you add a fitting this new model, the estimated coefficient for height must be Different, but still positive.
<h3>What is the SLR model about?</h3>
If there is a positive correlation but negative regression coefficient it means that the influence or the effect of the intercorrelations that exist between the independent variables may be negative when there is a positive correlation coefficient that exist between the variable and the dependent variable.
Therefore When you add a fitting this new model, the estimated coefficient for height must be Different, but still positive.
See full question below
Suppose you have an SLR model for predicting IQ from height. The estimated coefficient predictor for age to create an MLR model. After for height is positive. Now, we add a fitting this new model, the estimated coefficient for height must be:
- Exactly the same as the SLR model
- Different, but still positive
- Zero Negative
- None of the above
Learn more about SLR model from
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The equation for circumference is diameter x pi or 2 x radius x pi
Therefore,
1) 2x5x3.14=31.4 Cm
2) 9x3.14=28.26=28.3 Cm (nearest tenth)
3) 2x5.6x3.14=35.168= 35.7 yards (nearest tenth)
4) 25x3.14=78.5mm
Hope that helps!
The <em><u>correct answer</u></em> is:
Box 2
Explanation:
In these expressions, x represents the width of the box. We are asked about widths greater than 1; let's us 1.1 as an example:
Box 1:
3(1.1⁵) = 4.83153
Box 2:
4(1.1⁵)-(1.1⁴) = 6.44204 - 1.4641 = 4.97794
With a difference as small as a tenth, the volume of box 2 is larger. The larger the difference in width, the larger the difference in volume, and the volume of box 2 will be larger every time.
Answer:
Step-by-step explanation:
semi circle: pi(r^2)/ 2
r=3
AREA: 14.14
