Answers

1. The correct option is a. For every specific value of y, the value of x must be normally distributed about the regression line.

   What is Regression analysis?

   Regression is a statistical technique used in the fields of finance, investment, and other disciplines that aims to establish the nature and strength of the relationship between a single dependent variable (often represented by Y) and a number of independent variables (called independent variables).

   Some key features of regression are-

   • A statistical method called regression links a dependent variable through one and perhaps more independent variables.
   • A regression model can demonstrate whether changes in one or more the explanatory variables are related to changes in the dependent variable.
   • This is accomplished by basically generating a finest line and observing the distribution of the data around this line.
   • Financial analysts and economists can use regression to make predictions and value assets, among other things.
   • In order to interpret regression findings correctly, a number of presumptions regarding the model and the information itself need to be true.

   To know more about regressions, here

   https://brainly.com/question/13266116

   #SPJ4

   The complete question is-

   The assumptions we use to determine the validity of predictions include which of the following?

   a. For every specific value of y, the value of x must be normally distributed about the regression line.

   b. The sample was collected carefully.

   c. The standard deviation of each dependent variable must be the same for each independent variable.

   d. All of the above

   Reply