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.

Calculus: Early Transcendentals

8th Edition

ISBN:9781285741550

Author:James Stewart

Publisher:James Stewart

Chapter1: Functions And Models

Section: Chapter Questions

Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...

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