Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of rusinga=0.05. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead WidthL Weight 7.2 115 7.6 196 9.7 9.4 8.7 201 8.3 O 246 203 192 Click here to view a table of critical values for the correlation coefficient. Construct a scatterplot. Choose the correct graph below. OA. OB Oc. OD. Aweight g 300- Aweight g 300 Aweight a 300- Aweight 300 g) 10g) 100 100- 100- 100 width (om) width (om) width (om The linear correlation coefficient is r= (Round to three decimal places as needed.) The critical values are r (Round to three decimal places as needed. Use a comma to separate answers as needed.) Because the absolute value of the linear correlation coefficient v a=0.05. V sufficient evidence to support the dlaim that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals for a significance level of an the positive critical value, there less greater

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.