51. What is predicting y for a value of x that is within the interval of points that we saw in the original data called?
52. Analysis of variance in short form is?
53. . . . . . . . . is a simple approach to supervised learning. It assumes that the dependence of Y on X1, X2, . . . Xp is linear.
54. Although it may seem overly simplistic, . . . . . . . . is extremely useful both conceptually and practically.
55. When there are more than one independent variables in the model, then the linear model is termed as . . . . . . . .
56. The parameter β0 is termed as intercept term and the parameter β1 is termed as slope parameter. These parameters are usually called as . . . . . . . .
57. 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?
58. . . . . . . . . regression method is also known as the ordinary least squares estimation.
59. . . . . . . . . refers to a group of techniques for fitting and studying the straight-line relationship between two variables.
60. In order to calculate confidence intervals and hypothesis tests, it is assumed that the errors are independent and normally distributed with mean zero and . . . . . . . .
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