Hello I need a help with below question: Please solve this in minitab and provide the step by step guide with explanation.

1. Consumer Reports tested 19 different brands and models of road, fitness, and comfort bikes. Road bikes are designed for long road trips; fitness bikes are designed for regular workouts or daily commuters; and comfort bikes are designed for leisure rides on typically flat roads. The data file Bikes show the type, weight (lb.), and price ($) for the 20 bicycles tested.
   1. Develop an estimated regression equation that can be used to predict Price by using Type and Weight.
   2. At the 0.05 level of significance, test for autocorrelation in the data.

Here is data attached.

Brand and Model	Type	Weight	Price
Klein Rve v	Road	20	1800
Giant OCR Composite 3	Road	22	1800
Giant OCR 1	Road	22	1000
Specialized Roubaix	Road	21	1300
Trek Pilot 2.1	Road	21	1320
Cannondale Synapse 4	Road	21	1050
LeMond Poprad	Road	22	1350
Raleigh Cadent 1.0	Road	24	650
Giant FCR3	Fitness	23	630
Schwinn Super Sport GS	Fitness	23	700
Fuji Absolute 2.0	Fitness	24	700
Jamis Coda Comp	Fitness	26	830
Cannondale Road Warrior 400	Fitness	25	700
Schwinn Sierra GS	Comfort	31	340
Mongoose Switchback SX	Comfort	32	280
Giant Sedona DX	Comfort	32	360
Jamis Explorer 4.0	Comfort	35	600
Diamondback Wildwood Deluxe	Comfort	34	350
Specialized Crossroads Sport	Comfort	31	330
Jamis Coda Comp	Comfort	33	500