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It was incredibly useful and helpful, and it came in handy at the last minute to help me get a good mark on my Data Science Assignment. Many thanks
It was incredibly useful and helpful, and it came in handy at the last minute to help me get a good mark on my Data Science Assignment. Many thanks
Each question in the Data Science Assignment was explained thoroughly and each question's solution was excellent.
Each question in the Data Science Assignment was explained thoroughly and each question's solution was excellent.
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Code for: R and Linear Regression
Solution:
```
1.
```{r}
linear_regression<-function(x,y){
# number of observations/points
n = length(x)
# mean of x and y vector
m_x = mean(x)
m_y = mean(y)
# calculating cross-deviation and deviation about x
SS_xy = sum(y*x) - n*m_y*m_x
SS_xx = sum(x*x) - n*m_x*m_x
# calculating regression coefficients
b_1 = SS_xy / SS_xx
b_0 = m_y - b_1*m_x
return (c(b_0,b_1))
}
```
```{r}
b=linear_regression(x,y)
b
```
2.
```{r}
reg_function <- function(b0,b1,x){
y = b0 + b1*x
pred = c()
pred=append(pred,y)
return(pred)
}
```
```{r}
pred = reg_function(20.65919,3.195276,x)
pred
```
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