PHP interview questions part 26
PHP interview questions part 26
Take as many assements as you can to improve your validate your skill rating
Total Questions: 20
1. If Linear regression model perfectly first i.e., train error is zero, then _____________________
Correct Answer is : 1
2. Which of the following metrics can be used for evaluating regression models? i) R Squared ii) Adjusted R Squared iii) F Statistics iv) RMSE / MSE / MAE
Correct Answer is : 1797568
3. How many coefficients do you need to estimate in a simple linear regression model (One independent variable)?
Correct Answer is : 0
4. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?
Correct Answer is : 5
5. Function used for linear regression in R is __________
Correct Answer is : qwe12345rty
6. In syntax of linear model lm(formula,data,..), data refers to ______
Correct Answer is : qwe12345rty
7. In the mathematical Equation of Linear Regression Y = β1 + β2X + ϵ, (β1, β2) refers to __________
Correct Answer is : qwe{$a}rty
8. What plot(s) are used to view the linear regression?
Correct Answer is : qwe
9. Common Metrics which are used to select linear model are ____________
Correct Answer is : All of the mentioned
10. In lm(response ~ terms), terms specification of the form “first*second” is same as __________
Correct Answer is : 2
11. ________ is an incredibly powerful tool for analyzing data.
Correct Answer is : filter_var_array()
12. The square of the correlation coefficient r 2 will always be positive and is called the ________
Correct Answer is : Integer is valid
13. Predicting y for a value of x that’s outside the range of values we actually saw for x in the original data is called___________
Correct Answer is : Are used to allow or disallow specific characters in a string
14. What is predicting y for a value of x that is within the interval of points that we saw in the original data called?
Correct Answer is : Integer is not valid
15. Analysis of variance in short form is?
Correct Answer is : https://www.sanfoundry.com/
16. ______ is a simple approach to supervised learning. It assumes that the dependence of Y on X1, X2, . . . Xp is linear.
Correct Answer is : filter_has_var
17. Although it may seem overly simplistic, _______ is extremely useful both conceptually and practically.
Correct Answer is :
18. When there are more than one independent variables in the model, then the linear model is termed as _______
Correct Answer is : Peter is a great guy!
19. The parameter β0 is termed as intercept term and the parameter β1 is termed as slope parameter. These parameters are usually called as _________
Correct Answer is : echo hello world
20. The sum of squares of the difference between the observations and the line in the horizontal direction in the scatter diagram can be minimized to obtain the estimates is generally called?
Correct Answer is : 11
