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100 pointer and will mark brainliest thank you. Hi! I ask that you provide a digital scatter plot image of this graph and predict the line of best fit and make sure to sketch it on the graph aswell. Thank you. Arm Span (inches) Height (inches) 58 60 49 47 51 55 19 25 37 39 44 45 47 49 36 35 41 40 46 50 58 61 And then provide the answers to these questions about the scatter plot which variable did you plot on the x-axis, and which variable did you plot on the y-axis? Explain why you assigned the variables in that way. Write the equation of the line of best fit using the slope-intercept formula y = mx + b. Show all your work, including the points used to determine the slope and how the equation was determined. What does the slope of the line represent within the context of your graph? What does the y-intercept represent Test the residuals of two other points to determine how well the line of best fit models the data. Use the line of best fit to help you to describe the data correlation. Using the line of best fit that you found, approximate how tall is a person whose arm span is 66 inches According to your line of best fit, what is the arm span of a 74-inch-tall person

100 pointer and will mark brainliest thank you Hi I ask that you provide a digital scatter plot image of this graph and predict the line of best fit and make su class=

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shaleenparikh1

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.

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The equation of best  fitted line is given as follows

[tex]\rm y = 0.955x+ 3.787 \\with \; R^2 = 0.951[/tex]

The y  intercept 3.787 represents the  height of that is independent of Arm span.

The height of the person whose arm span is 66 inches is 66.817 inch.

The arm span of a person whose height is 74 inches is 73.52 inch

According to the given data the arm span  and heights are given in inches

Using Microsoft excel we can draw the scatter plot of both the variables such that arm span is on X axis and Height is on Y axis

The  image for the excel work done showing calculations and scatter plot  is attached.

Now we can fit the linear tread line and  to find out the equation of fitted line just tick on the " show equation" line option of trend line fitting

The equation of best  fitted line is given as follows

[tex]\rm y = 0.955x+ 3.787 .....(1) \\with \; R^2 = 0.951[/tex]

Slope of line of best fit = 0.955

So we can conclude that height (Y) is related to Arm span according to equation (1)

Equation (1) shows the equation of line of best fit for the given data

The y  intercept 3.787 represents the  height of that is independent of Arm span.

So the height of the person whose arm span is 66 inches is given following

[tex]\rm y = 0.955 \times 66+ 3.787 \\y = 66.817 \; inch[/tex]

Similarly the arm span of a person whose height is 74 inches

[tex]\rm 74 = 0.955x +3.787 \\x = 73.52 \; inches[/tex]

For more information please refer to the link given below

https://brainly.com/question/2659237

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