You want 125 pounds minus 4% of it, so you want 96% just multiply it
125 . 96% = 125 . 96/100 = 120
We assume data and prediction as question is incomplete
Answer and Step-by-step explanation:
Least squares regression line equations are used to model the relationship that exists between two variables, dependent and independent variables. The equation has the form y=a+bx where y is the dependent variable and x is independent variable, a is a constant and is the y intercept and b is the slope of the line. This relationship is then used to predict future outcomes.
Given that data for 2004-2005 for the basketball players are :
James- 20 points
John- 30 points
Chris- 50 points
Dave-15 points
Donaldson- 32 points
Richard -40 points
We predict the scores/points for James (for example) for the following year using the equation of the regression line y=0.79x+1544
We substitute his points x=20 I'm the equation:
Y=0.79*20+1544
=1599.8
The predicted value is 1599.8
I believe that the answer is B. y=-7x+41
Answer:
89.132 inch
Step-by-step explanation:
“this shape is made up of one half-circle attached to a square with side lengths 16 inches. You can use 3.14 as an approximation.”
so, the square has a perimeter of 16 inch, four sides that will be 64 inch
then the half circle rule of perimeter of half circle: πr + 2r
=> perimeter of semicircle = π * 8 +2 * 8 = 41.132 inch
<em>without the bottom line of half circle= 41.132 -16 = 25.133 inch</em>
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So total 25.133 + 64 =89.132 inch
have a great day and nc question
Answer:
767.76 mL
Step-by-step explanation:
625.05 + `142.71 = 767.76
