Answer:
I think it's 40 hopes this help
Answer:6
Step-by-step explanation:
x+3x+5x-54
X+8x-54
9x-54
9x=54
X=6
Answer:
3
Step-by-step explanation:
3/4 (5x -3)+8=17
3/4 (5x -3) = 17 - 8 = 9
(5x -3) = 9 * (4/3)= 36/3 = 12
5x = 12 + 3 = 15
x = 3
I used arm span as the x-axis and height as the y-axis; arm span is the independent variable because height is typically dependent on arm span. Although the opposite could be argued for.
The equation of the line of best fit is y= 12+(7/9)x. To get the slope I used the points (37,39) and (19,25). The slope is therefore 14/18=7/9. The slope represents that height increases by 7/9 inches when arm span increases by 1 inch. The y-intercept 12 represents roughly the height when arm size is very small. I tested the residuals of the points (47,49) and (58,61). The respective predictions are 48.556 and 57.111. The respective residuals are then (49-48.556)=0.444 and (61-57.111)=3.889. It seems that the line models the data well until the x values get larger, where the performance decreases. The line of best fit with its positive slope indicates that there is a positive correlation with arm span and height.
Using the model, a person with arm span 66 inches has a height of 12+(7/9)*66= 63.333 inches. A person with 74 inches height has an estimated arm span of 62*9/7= 79.714 inches.