Answer:
4.results should be reported with some measure that represent how convinced we are that our conclusion reflect reality
Step-by-step explanation:
Certainly statistics deals with organization, evaluation and data conclusions. But the data is always obtained from representative samples of certain universes for that reason those results must be associated with the degree of confidence
Answer:
0,4, That is the y intercept.
Step-by-step explanation:
Hope I helped :)
<h2>
Answer with explanation:</h2>
When there is a linear relationship is observed between the variables, we use linear regression predict the relationship between them.
Also, we predict the values for dependent variable by modelling a linear model that best fits the data by drawing a line Y=a+bX, where X is the explanatory variable and Y is the dependent variable.
In other words: The line of best fit is a line through a scatter plot of data points that best describes the relationship between them.
That's why the regression line referred to as the line of best fit.
Answer:
3
Step-by-step explanation: