Answer:
A. the 10thhour of study will likely be less productive than the 3rd.
Explanation:
The law of diminishing returns is a point at which the level of benefits or apprehensions gained is less than the amount of energy or time that is invested.
So at the tenth hour, this law would be setting in, and the effectiveness of each additional unit of time decreases. So this hour will be less productive than the third hour.
<span>The process of perception is a way of creating a mental impression that allows a person to become aware, comprehend or analyze information. Through this process, a person generates their own thoughts, judgments, beliefs, ideas and estimations by using visual, audio, taste and sensory elements that they interact with</span>
I would say it is B Legal
Answer:
1. Two Stage Least Squares
Two stage least squares is a statistical technique of regression analysis. It is used to analyze structural equations. It is used to compute estimated values of the problematic predictors and then linear regression model of dependent variables is computed. This technique is also used in quasi experiments.
2. Estimation with control variables
A control variable is constant element which is kept unchanged throughout the process of experiment in order to get the estimation.
3. Panel estimation with fixed effects
In Panel estimation fixed effects are referred to the estimator of the coefficient in regression model. Panel estimation method with fixed effects helps estimation of equations.
Explanation:
1. Two Stage Least Squares
Two stage least squares is a statistical technique of regression analysis. It is used to analyze structural equations. It is used to compute estimated values of the problematic predictors and then linear regression model of dependent variables is computed. This technique is also used in quasi experiments.
2. Estimation with control variables
A control variable is constant element which is kept unchanged throughout the process of experiment in order to get the estimation.
3. Panel estimation with fixed effects
In Panel estimation fixed effects are referred to the estimator of the coefficient in regression model. Panel estimation method with fixed effects helps estimation of equations.
