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# Linear Regression

# 1. Read in bikeshare.csv file and set it to a dataframe called bike.

### Bikshare Data Set Information

# . datetime - hourly date + timestamp

# . season - 1 = spring, 2 = summer, 3 = fall, 4 = winter

# . holiday - whether the day is considered a holiday

# . workingday - whether the day is neither a weekend nor holiday

# . weather -

# 1: Clear, Few clouds, Partly cloudy, Partly cloudy

# 2: Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist

# 3: Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds

# 4: Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog

# . temp - temperature in Celsius

# . atemp - "feels like" temperature in Celsius

# . humidity - relative humidity

# . windspeed - wind speed

# . casual - number of non-registered user rentals initiated

# . registered - number of registered user rentals initiated

# . count - number of total rentals

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