In a diet study, the amount of weight lost and the starting weight of each individual was recorded. a scatterplot is provided. the correlation between weight lost and starting weight is 0.934. since the correlation is so high, we can conclude that select one: a. the slope of the least-squares line will be much larger than one. b. 93.4% of the variability in weight lost is due to a person? s starting weight. c. there is a strong, positive linear association between starting weight and weight lost. d. a person? s starting weight being high must cause them to lose a lot of weight.

C. there is a strong, positive linear association between starting weight and weight lost.

Step-by-step explanation:

Given that in a diet study, the amount of weight lost and the starting weight of each individual was recorded.

A scatterplot is provided. The correlation between weight lost and starting weight is 0.934.

This means that there is a strong positive linear correlation between the amount of weight lost and the starting weight of individual.

From r positive, we can say that slope of regression line will be positive, but cannot definitely say that slope >1. Similarly 93.4^2% of the variability only will be due to the other variable. so options 1 and 2 are wrong.

D is wrong because rate of change of weight is constant being a liner relationship

Hence only correct option is

C. there is a strong, positive linear association between starting weight and weight lost.

250

step-by-step explanation:

the inequality is:

250c+180g≥950

step-by-step explanation:

let c denotes the number of days in a week   miyoko worked as a cryptographer.

and g denotes the number of days in a week she works as a geologist.

now we are given that she earns $250 for every day she works as a cryptographer,and earns $180 for every day she works as a geologist.

now miyoko's goal is to earn more than $950 this week.

hence, the inequality could be represented as:

250c+180g≥950