MechaCar_Statistical_Analysis

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  • 2022-05-20 02:14
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MechaCar_Statistical_Analysis 使用R分析来自MechaCar的一系列数据集。 请参阅 挑战 线性回归预测MPG 悬架线圈摘要统计 悬架线圈的T检验 设计研究,将MechaCar与竞争对手进行比较 概括 预测MPG(Deliverable1)的线性回归:车辆长度,地面间隙和截距是变量,P值(5.35e-11)小于假定的显着性水平(0.05)。 请参阅下面的测试结果: 悬架线圈摘要统计数据(可交付品2):MechaCar悬架线圈的设计规范规定,悬架线圈的方差不得超过每英寸100磅。 请参阅下面的测试结果: 悬架线圈的T检验(Deliverable3):P值(0.06)大于假定的显着性水平(0.05),因此没有足够的证据来拒绝无效假设,即没有统计学上的统计学差异。每英寸1,500磅。 请参阅 研究设计:MechaCar vs竞赛(Deliverable4)。
MechaCar_Statistical_Analysis-main.zip
  • MechaCar_Statistical_Analysis-main
  • ScreenShot_Deliverable2_Lot2.png
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  • ScreenShot_Deliverable1.png
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  • ScreenShot_Deliverable2_TotalSummary.png
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  • ScreenShot_Deliverable2_Lot1.png
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  • README.md
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  • Suspension_Coil.csv
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  • MechaCarChallenge.R
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  • ScreenShot_Deliverable2_LotSummary.png
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  • ScreenShot_Deliverable3.png
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  • .gitignore
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  • MechaCar_mpg.csv
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  • ScreenShot_Deliverable2_Lot3.png
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内容介绍
# MechaCar_Statistical_Analysis - Using R to analyze a series of datasets from the MechaCar. Refer to [MechaCarChallenge.R](../main/MechaCarChallenge.R) ## Challenge - Linear Regression to Predict MPG - Summary Statistics on Suspension Coils - T-Test on Suspension Coils - Design a Study Comparing the MechaCar to the Competition ## Summary - Linear Regression to Predict MPG(Deliverable1): The vehicle.length, ground.clearance and intercept are the variables and the P-value (5.35e-11) is less than assumed significance level (0.05). Refer to test result below:![alt text](../main/ScreenShot_Deliverable1.png) - Summary Statistics on Suspension Coils(Deliverable2): The design specifications for the MechaCar suspension coils dictate that the variance of the suspension coils must not exceed 100 pounds per inch. Refer to test results below:![alt text](../main/ScreenShot_Deliverable2_LotSummary.png) ![alt text](../main/ScreenShot_Deliverable2_TotalSummary.png) - T-Test on Suspension Coils(Deliverable3): The P-value (0.06) is greater than presumed significance level (0.05), so there is no sufficient evidence to reject the null hypothesis that there is no statistically different from the mean population results of 1,500 pounds-per-inch. Refer to [T-Test on Suspension Coils Results](../main/ScreenShot_Deliverable3.png) - Study Design: MechaCar vs Competition(Deliverable4). 1) metrics to be uses: Miles per gallon (mpg), quarter mile second (qsec), hourepower (hp). 2) The null hypothesis: no relationship between a car price and the units of sales. The alternative hypothesis: would be the opposite., there is a relationship between a car price and the units of sales. 3) The statistical test will be used is a linear regression model because it can predicts the mpg of MechaCar prototypes, determine the p-value and the r-squared value for the linear regression model. 4) The data should be collected from historical sales (sales unit and unit price), then we can analyze the data with visualization.
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