7. The heights (in inches) and pulse rates (in beats per minute) for a sample of 40 women were measured. Using technology with the paired height/pulse data, the linear correlation coefficient is found to be 0.202. Assuming a 0.01 level of significance, find the critical value. Is there sufficient evidence to support the claim that there is a linear correlation between the heights and pulse rates of women? (1 point)

Critical value = 0.402; there is not sufficient evidence to support the claim that there is a linear correlation between the heights and pulse rates of women.
Critical value = 0.402; there is sufficient evidence to support the claim that there is a linear correlation between the heights and pulse rates of women.
Critical value = 0.312; there is not sufficient evidence to support the claim that there is a linear correlation between the heights and pulse rates of women.
Critical value = 0.312; there is sufficient evidence to support the claim that there is a linear correlation between the heights and pulse rates of women.

8. A sample of 6 head widths of seals (in cm) and the corresponding weights of the seals (in kg) were recorded. Given a linear correlation coefficient of 0.948, find the corresponding critical values, assuming a 0.01 significance level. Is there sufficient evidence to conclude that there is a linear correlation? (1 point)

Critical values = ±0.917; there is sufficient evidence to conclude that there is a linear correlation.
Critical values = ±0.917; there is not sufficient evidence to conclude that there is a linear correlation.
Critical values = ±0.959; there is sufficient evidence to conclude that there is a linear correlation.
Critical values = ±0.959; there is not sufficient evidence to conclude that there is a linear correlation.