Question

In: Statistics and Probability

*****I'm using excel spreadsheet so I'm stuck on how to find a least square straight line...

*****I'm using excel spreadsheet so I'm stuck on how to find a least square straight line after linearizing the relationship. I do not have mini lab. I'm using excel.. The following are the average distances of the planets in the solar system from the sun.

Planet No Planet Distance (millions of miles)

1 Pluto 47.163

2 Venus 67.235

3 Earth 92.960

4 Mars 141.61

5 Asteroids 313.00

6 Jupiter 483.60

7 Saturn 886.70

8 Uranus 1783.0

9 Neptune 2794.0

10 Pluto 2794.0

Find a least squares straight line after linearizing the relationship.

Solutions

Expert Solution

x y (x-x̅)² (y-ȳ)² (x-x̅)(y-ȳ)
1 47.163 20.25 797741.57 4019.24
2 67.235 12.25 762289.29 3055.82
3 92.96 6.25 718030.49 2118.42
4 141.61 2.25 637948.53 1198.08
5 313 0.25 393538.91 313.66
6 483.6 0.25 208599.37 -228.36
7 886.7 2.25 2875.83 -80.44
8 1783 6.25 710098.12 2106.68
9 2794 12.25 3436104.33 6487.86
10 2794 20.25 3436104.33 8341.53
ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 55 9403.268 82.5 11103330.8 27332.48
mean 5.50 940.33 SSxx SSyy SSxy

sample size ,   n =   10          
here, x̅ = Σx / n=   5.50   ,     ȳ = Σy/n =   940.33  
                  
SSxx =    Σ(x-x̅)² =    82.5000          
SSxy=   Σ(x-x̅)(y-ȳ) =   27332.5          
                  
estimated slope , ß1 = SSxy/SSxx =   27332.5   /   82.500   =   331.3028
                  
intercept,   ß0 = y̅-ß1* x̄ =   -881.8385          
                  
so, regression line is   Ŷ =   -881.8385   +   331.3028   *x


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