Assignment (Information Technology, Data analytics)

Question

Use 50_Startups.csv dataset to implement three simple linear regression models using Jupyter Notebook platform. In each model you will focus on different featurs of the dataset. Model 1: RandDSpend & Profit Model 2: Administration & Profit Model 3: MarketingSpend & Profit You can use the available sample code in the Sample codes and Data section and tweak it based on the dataset. In each model you need to come with two graphs show the distribution of the data and the distribution of the data with the best fit line.

RandDSpend	Administration	MarketingSpend	State	Profit
165349.2	136897.8	471784.1	New York	192261.8
162597.7	151377.59	443898.53	California	191792.1
153441.51	101145.55	407934.54	Florida	191050.4
144372.41	118671.85	383199.62	New York	182902
142107.34	91391.77	366168.42	Florida	166187.9
131876.9	99814.71	362861.36	New York	156991.1
134615.46	147198.87	127716.82	California	156122.5
130298.13	145530.06	323876.68	Florida	155752.6
120542.52	148718.95	311613.29	New York	152211.8

Please help me with codes of this question. I have tried to do it but given me error after loading the libaries and reading the csv file. check the error below

# Model 1: "RandDSpend" & "Profit" X = data[['R&D Spend']] y = data['Profit']

--------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[5], line 2 1 # Model 1: "RandDSpend" & "Profit" ----> 2 X = data[['R&D Spend']] 3 y = data['Profit'] NameError: name 'data' is not defined