Answer:
Step-by-step explanation:
given that the following linear regression prediction equation: Y = 12 + –1x
Here slope = -1
Whenever regression slope is negative, we can say that the two variables x and y are negatively correlated.
In other words, when y increases x decreases and vice versa.
The relationship between the variables is negative or inverse.
The graph of this line with negative slope shows the line as moving from top left to bottom right
Here slope = -1
Hence for unit increase in x, there is one unit increase in y.
