Respuesta :

Answer: B) Strong Negative

The points do not all fall on the same straight line, but they come fairly close to one. This line is known as the line of best fit, aka the regression line. If a regression line has a negative slope, then we consider the data to have negative correlation. The closer the fit, the stronger the correlation.

Contrast this with points that are scattered more randomly about though may have some negative correlation (as x goes up, y goes down). In this scenario, we would have weak correlation. The correlation coefficient r will tell a better story about how strong or weak of a correlation there is. Unfortunately, without the actual numeric values, it's impossible to figure out the r value.

fichoh

The relationship between the variable X and Y plotted on the graph depicts a strong negative association between the two variables.

  • The direction of the trend on a linear plot gives an information about the direction of the slope of the graph, the graph slopes downwards as variable X increases, hence we have a negative relationship between X and Y

  • The trend produced by the graph is straight forward with points close to one another, hence forming a well - defined pattern. These depicts a Strong association between the variables.

  • When the trend isn't clearly defined and obvious, the relationship is weak.

Therefore, we can deduce from the graph that variable X and Y have a strong negative association.

Learn more :https://brainly.com/question/18405415

Otras preguntas