Question

Please help its do today

Describe an example of each of the following. (1 point each)

1. Bivariate data.
2. Univariate data.
3. Data with a linear relationship.
4. Data with a non-linear monotonic relationship.
5. Data with a not-monotonic relationship.

Answer 1

Solution:

a)Mindy can discover numerous instances of both univariate and bivariate information in her classroom. ... Bivariate information manages two factors. The main role of bivariate information is to think about the two arrangements of information or to discover a connection between the two factors. Bivariate information is frequently dissected outwardly utilizing scatterplots.

b)A variable in univariate investigation is only a condition or subset that your information falls into. You can consider it a "classification." For instance, the investigation may take a gander at a variable of "age" or it may take a gander at "tallness" or "weight". ... All things considered you would have bivariate information since you would then have two factors.

c)A relationship of direct proportionality that, when plotted on a chart, follows a straight line. In straight connections, some random change in a free factor will dependably deliver a relating change in the reliant variable.

d)In a monotonic relationship, the factors will in general move a similar relative way, yet not really at a consistent rate. In a straight relationship, the factors move a similar way at a steady rate. Plot 5 indicates the two factors expanding simultaneously, yet not at a similar rate. This relationship is monotonic, however not straight. The Pearson connection coefficient for these information is 0.843, yet the Spearman relationship is higher, 0.948.

e)For instance, the information in the picture b above is monotonic and direct. ... Monotonic factors increment (or decline) in a similar course, however not generally at a similar rate. Straight factors increment (or decline) in a similar bearing at a similar rate.