MechaCar_Statistical_Analysis

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  • 2022-05-18 04:31
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MechaCar_Statistical_Analysis 线性回归预测MPG 以下变量/系数为数据集中的mpg值提供了非随机的方差量:(a)地面间隙,(b)车辆长度和(c)截距(表明还有其他变量和因素对尚未包含在我们的模型中的mpg变化。 线性模型的斜率不为零。 根据我们的模型,统计上,多个变量(ground_clearance,vehicle_length,intercept)不太可能为模型提供随机数量的方差。 该线性模型相当有效地预测了MechaCar原型的mpg。 在这种情况下,r-squared = .71,表明使用此模型时,大约71%的mpg预测将是正确的。 悬架线圈摘要统计 当前的制造数据总计符合所有制造批次的悬挂线圈设计规范(线圈变化不得超过100lbs /平方英寸),但并非每个批次都单独满足。 所有批次(62),批次1(1)和批次2(7)的方差均符合设计规范,而批
MechaCar_Statistical_Analysis-main.zip
  • MechaCar_Statistical_Analysis-main
  • Module practice
  • 01_Demo
  • mpg_modified.csv
    4.2KB
  • demo_2.R
    1.4KB
  • demo.json
    26.3KB
  • .RData
    15.8KB
  • .Rhistory
    2.8KB
  • Stats_Tests_Practice.R
    1.8KB
  • demo.csv
    146B
  • module_plotting_practice.R
    6.8KB
  • demo.r
    3.3KB
  • Stats Data Types_Mod15.docx
    115.2KB
  • demo2.csv
    4.4KB
  • used_car_data.csv
    16.7KB
  • Images
  • totalSummary_Del#2.png
    2.9KB
  • LotSummary_Del#2.png
    7.3KB
  • SummaryStats_Del#1.png
    62.9KB
  • LRMcoefficients_Del#1.png
    18.1KB
  • SampleVSpop_Del#3.png
    17KB
  • LotsVSpop_Del#3.png
    38.1KB
  • README.md
    1.4KB
  • Suspension_Coil.csv
    2.5KB
  • MechaCarChallenge.R
    1.6KB
  • .gitignore
    1.8KB
  • MechaCar_mpg.csv
    3KB
内容介绍
# MechaCar_Statistical_Analysis ## Linear Regression to Predict MPG ![](Images/SummaryStats_Del%231.png) - The following variables/coefficients provided a non-random amount of variance to the mpg values in the dataset: (a) ground_clearance, (b) vehicle_length, and (c) the intercept (which indicates there are other variables and factors that contribute to the variation in mpg that have not been included in our model. - The slope of the linear model is not zero. According to our model, multiple variables (ground_clearance, vehicle_length, intercept) were statistically unlikely to provide random amounts of variance to the model). - This linear model predicts mpg of MechaCar prototypes fairly effectively. In this case, r-squared = .71, indicating that roughly 71% of mpg predictions will be correct when using this model. ## Summary Statistics on Suspension Coils ![](Images/totalSummary_Del%232.png) ![](Images/LotSummary_Del%232.png) - The current manufacturing data meets the suspension coil design specification (variance of coils may not exceed 100lbs/square inch) for all manufacturing lots in total but NOT each lot individually. The variance across all lots (62), Lot1 (1), and Lot2 (7) meet the design specification, while the variance for Lot3 (170) did not meet the design specification. ## 3 ![](Images/SampleVSpop_Del%233.png) ![](Images/LotsVSpop_Del%233.png) ## 4
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