3/6= 1/2 because 3 is the half of 6 and 1 is the half of 2
5/20= 1/4 because 1 x 5= 5 and 4 x 5= 20
9/27= 1/3 because 1 x 9 =9 and 3 x 9=27
1/2 is the simplest form already
12/36= 1/3 because 1 x 12= 12 and 3 x 12= 36
24 * 3/4 = 18
The radius of smaller cone is 3/4 the radius of original cone, so since these cones are similar, height must also be 3/4 times smaller.
So since radius is squared and we also multiple the height (V = 1/3 π r² h),
the volume of smaller cone would be 3³ / 4³ = 27 / 64 times smaller
So we have 1920 * (27 / 64) = 810.
Final answer: B
Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.
The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).
We are given:
R = 0.75
So,
R² = 0.75²
R² = 0.5625
R² = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
Because you have two variables and only one equation, you can only solve for approximate answers, and not complete, absolute answers.
<h3><u>You can simplify this equation to x = -4y + 12</u></h3>
y - 3 = -1/4(x + 3)
Distributive property.
y - 3 = -1/4x - 3/4
Multiply all terms by 4.
4y - 12 = -x
Multiply all terms by -1
-4y + 12 = x