Hi, when I knit a file I get different results from my Markdown console to my knitted file, but only when using a set.seed(). So I'll always get the same results in the console, and always have the same results in the knitted document, but they're different from each other. I've attached pictures of the problem with the code too, in which you can see that the results are different from each other. I also understand there might be an easier way to do it, but I've followed the exact answers from my lectures and this is where I've ended up.

I've copied the results from the console as I can only put one media file in as a new user, and the coefficients have been taken out cause they were formatting weird, but they're also different.

**My code**

```
stream <- read_xlsx("mlr.xlsx", "California_streamflow")
glimpse(stream)
fit <- lm(L10BSAAM ~ L10OPRC + L10OBPC, data = stream)
set.seed(100)
stream$random_no <- rnorm(n = nrow(stream), mean = 3, sd = 2)
```

Creating two regression models

- L10BSAAM ~ L10OPRC + L10OBPC
- L10BSAAM ~ L10OPRC + L10OBPC + random_no

```
set.seed(100)
summary(fit)
set.seed(100)
randomno_fit <- lm(L10BSAAM ~ L10OPRC + L10OBPC + random_no, data=stream)
set.seed(100)
summary(randomno_fit)
```

**The result I get in the console**

Call:

lm(formula = L10BSAAM ~ L10OPRC + L10OBPC, data = stream)

Residuals:

Min 1Q Median 3Q Max

-0.09832 -0.02350 0.01076 0.03291 0.08568

Signif. codes: 0 ‘* ’ 0.001 ‘’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.04937 on 40 degrees of freedom

Multiple R-squared: 0.8749, Adjusted R-squared: 0.8686

F-statistic: 139.8 on 2 and 40 DF, p-value: < 2.2e-16

Call:

lm(formula = L10BSAAM ~ L10OPRC + L10OBPC + random_no, data = stream)

Residuals:

Min 1Q Median 3Q Max

-0.09737 -0.02414 0.01129 0.03284 0.08578

Signif. codes: 0 ‘* ’ 0.001 ‘’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.04999 on 39 degrees of freedom

Multiple R-squared: 0.8749, Adjusted R-squared: 0.8653

F-statistic: 90.91 on 3 and 39 DF, p-value: < 2.2e-16

**The result I get in the knitted file**