Hello,

While doing factor analysis the following is the output I have got:

Call:

```
factanal(x = na.omit(auto_copy), factors = 3, data = na.ona.omit, rotation = "varimax")
**Uniquenesses:**
price engine_s horsepow wheelbas width length curb_wgt fuel_cap mpg
0.24 0.18 0.00 0.19 0.33 0.07 0.11 0.14 0.21
**Loadings:**
Factor1 Factor2 Factor3
price 0.83
engine_s 0.69 0.38 0.44
horsepow 0.95
wheelbas 0.82 0.38
width 0.33 0.62 0.42
length 0.93
curb_wgt 0.37 0.45 0.74
fuel_cap 0.41 0.79
mpg -0.42 -0.74
Factor1 Factor2 Factor3
SS loadings 2.59 2.55 2.38
Proportion Var 0.29 0.28 0.26
Cumulative Var 0.29 0.57 0.84
Test of the hypothesis that 3 factors are sufficient.
The chi square statistic is 42.03 on 12 degrees of freedom.
The p-value is 3.29e-05
```

How to interpret the output?Also for the chi-square statistic part,the degrees of freedom changes to 6 when I take number of factors to be 4,why is it so??

Can somebody please explain these to me!!

Thanks!