linear dependence and independence

Which of the following statement(s) is/are false? I. The variances (or standard deviations) for the y variables are the same for each value of the independent variable. This is equal - variance assumption. II. There is a linear relationship between the dependent variab..

Which of the following statement(s) is/are true? I. In linear regression, the regression equation contains one independent variable and one dependent variable. II. In linear regression, the regression equation is written as y ′ = a + bx . III. In multip..

Are the two events dependent or independent? 1. Tossing a coin. 2. Rolling a die. => Dependent or Independent..

Temperature Dependence of Resistivity - The resistivity of a metallic conductor nearly always increases with increasing temperature. As temperature increases, the ions of the conductor vibrate with greater amplitude, making it more likely that a moving electron will collide with an ion. T..

For any specific value of the independent variable, the values of the dependent variable y are normally distributed. This is called the __________ assumption. => independence or linearity or equal - variance or normality..

Are the two events dependent or independent? 1.Choosing a milk bottle from the fridge. 2.Choosing a soft drink bottle from the fridge. => Independent or Dependent..

Are the two events dependent or independent? 1. Drawing a king from a pack of cards without replacing it. 2. Again drawing another king. => Independent or Dependent..

A bag contains some red colored and blue colored marbles. First a red colored marble is drawn and then without replacing the first marble, a blue colored marble is drawn. Are the two events dependent or independent? => Dependent or Independent..

The mass of the oscillating particle The force constant of the spring (or any other agency) which supplies the restoring force. The above equation tells us that period is independent of the amplitude. Such a motion is said to be isochronous..

The basic assumption(s) for estimating the difference between two variances is/are: I. The samples must be dependent on each other. II. The samples must be independent of each other. III. The populations from which the samples were obtained must be normally distributed. IV. The ..