There is one factor it’s 1
The answer is B) or y = -4x + 160
If her initial weight is 160 pounds, then you must subtract 4x, representing how much weight she lost over time, to find her current weight y
But, since y = 160 – 4x isn't an option, we can reverse to negatives as long as you change the addition/subtraction sign
So, subtracting positive 4x is the same as adding -4x
Therefore, y = 160 – 4x is the same as y = -4x + 160
Answer:50, 100, 151
Step-by-step explanation:
because adding two side must be bigger than the 3rd side
Answer: D) The linear model shows a strong fit to the data
The actual strength of the relationship is unknown unless we have the actual values of each data point (so we can compute the correlation coefficient r), but the residuals are randomly scattered about both above and below the horizontal axis. This means we have a fairly good linear fit. If all of the points were above the line, or all below the line, or all residuals fit a certain pattern (eg: parabola), then it wouldn't be a good linear fit.
