Q. Which of the following contains pre-built predictive tools?

View solution

Q. Which of the following involves predicting a categorical response?

View solution

Q. _________ involves predicting a response with meaningful magnitude, such as quantity sold, stock price, or return on investment.

View solution

Q. ________ is rapidly being adopted for computing descriptive and query types of analytics on Big data.

View solution

Q. ______ is an integrated hosted analytics platform for marketing insights, predictive models, and marketing optimization.

View solution

Q. The IBM _________ analytics appliances combine high-capacity storage for Big Data with a massively-parallel processing platform for high-performance computing.

View solution

Q. When hypothesis tests and confidence limits are to be used, the residuals are assumed to follow the __________distribution.

View solution

Q. What do we do the curvilinear relationship in linear regression?

View solution

Q. In order to calculate confidence intervals and hypothesis tests, it is assumed that the errors are independent and normally distributed with mean zero and _______

View solution

Q. __________ refers to a group of techniques for fitting and studying the straight-line relationship between two variables.

View solution

Q. ______ regression method is also known as the ordinary least squares estimation.

View solution

Q. 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?

View solution

Q. The parameter β0 is termed as intercept term and the parameter β1 is termed as slope parameter. These parameters are usually called as _________

View solution

Q. When there are more than one independent variables in the model, then the linear model is termed as _______

View solution

Q. Although it may seem overly simplistic, _______ is extremely useful both conceptually and practically.

View solution

Q. ________ is a simple approach to supervised learning. It assumes that the dependence of Y on X1, X2, . . . Xp is linear.

View solution

Q. Analysis of variance in short form is?

View solution

Q. What is predicting y for a value of x that is within the interval of points that we saw in the original data called?

View solution

Q. 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 ___________

View solution

Q. The square of the correlation coefficient r 2 will always be positive and is called the ________

View solution