I don’t know if I’m doing this correctly. Could you look at problem 1 and 2 to see if I’m doing this correctly? Thank you,Ryan YXarb1.5 Lab ActivityIn BMX dirt bike racing, jumping high (or "getting air") depends on many factors including rider's skill,angle of the jump, and weight of the bike. Here is data about the maximum jump heights for various bikeweights.Height 10.35 10.3(inches)19 19.5Weight(pounds)10.25weightHeight20The data appears tobe linearly related10.2 10.1 9.8520.51. Sketch a graph of the data. Consider which quantity should be the dependent variable and whichquantity should be the independent variable. Does the data appear to be linearly related?independent:<+ (x)dependent:(y)2120+Erist2 10+59.8 9.79 9.7 9.622 22.5 23 23.5 24(x) weight / height(y)1910.3519.510.310 2030 40 50 60 10(weight)2. Examine the graph of the data using a graphing utility. Find an equation that models the data. Use alinear regression calculation tool. Round your answers to the nearest hundredth.y=-0.16x +13.35

Given information: Data is given about the maximum height of the bike jumps according to the weights…

In BMX dirt bike racing, jumping high (or "getting air") depends on many factors including rider's skill, angle of the jump, and weight of the bike. Here is data about the maximum jump heights for various bike weights. Height 10.35 10.3 10.25 (inches) Weight (pounds) 19 19.5 20 ht (x) ependent: weight pendent: Height (y) The data appears to be linearly related 10.2 10.1 9.85 9.8 20.5 21 1. Sketch a graph of the data. Consider which quantity should be the dependent variable and which quantity should be the independent variable. Does the data appear to be linearly related? (x) weight / heigh- 19 19.5 20+ Frist 10. 9.79 9.7 (Height) 22 22.5 23 9.6 23.5 24 10.3 to.3 10 20 30 40 50 60 10 80 (weight" 2. Examine the graph of the data using a graphing utility. Find an equation that models the data. Use a linear regression calculation tool. Round your answers to the nearest hundredth.

In BMX dirt bike racing, jumping high (or "getting air") depends on many factors including rider's skill, angle of the jump, and weight of the bike. Here is data about the maximum jump heights for various bike weights. Height 10.35 10.3 10.25 (inches) Weight (pounds) 19 19.5 20 ht (x) ependent: weight pendent: Height (y) The data appears to be linearly related 10.2 10.1 9.85 9.8 20.5 21 1. Sketch a graph of the data. Consider which quantity should be the dependent variable and which quantity should be the independent variable. Does the data appear to be linearly related? (x) weight / heigh- 19 19.5 20+ Frist 10. 9.79 9.7 (Height) 22 22.5 23 9.6 23.5 24 10.3 to.3 10 20 30 40 50 60 10 80 (weight" 2. Examine the graph of the data using a graphing utility. Find an equation that models the data. Use a linear regression calculation tool. Round your answers to the nearest hundredth.

College Algebra

10th Edition

ISBN:9781337282291

Author:Ron Larson

Publisher:Ron Larson

Chapter3: Polynomial Functions

Section3.5: Mathematical Modeling And Variation

Problem 2ECP

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