Your answer is A
It cannot be C because the line y > -2 uses the (>) greater than symbol.
When equations have a greater than symbol, they are graphed using a <u>dotted line. </u>
It cannot be D because the line is y ≤ - l x-1 l
with the less than or equal to sign (≤) , you use a <u>solid line</u> to graph
With the<u> greater than</u> symbol for y > -2 , the shaded region must be <em>above </em>this line.
With the <em>less than </em>or equal to sign in y ≤ - l x-1 l , the shaded region must be <em>below </em>the line.
Hope I helped - message me if you have any questions :)
Answer:
Bias is the difference between the average prediction of our model and the correct value which we are trying to predict and variance is the variability of model prediction for a given data p[oint or a value which tells us the spread of our data the variance perform very well on training data but has high error rates on test data on the other hand if our model has small training sets then it's going to have smaller variance & & high bias and its contribute more to the overall error than bias. If our model is too simple and has very few parameters then it may have high bias and low variable. As the model go this is conceptually trivial and is much simpler than what people commonly envision when they think of modelling but it helps us to clearly illustrate the difference bewteen bias & variance.
Answer:
Bell Curve
Step-by-step explanation:
Draw a cartesian graph and draw the points in , then see where c should be to get a right angled triangle
1.29 is 6.45 divided by 5
