Scannerクラスの使い方が分かりません

前提・実現したいこと

まず、DatasetObj.java を書きました。それから、Scannerクラスを使って、LinReg.java を書いて、DatasetObj.java の #bestFit と、#rsq と、#meanDistance を表示したいのですが、どのようにすればいいのでしょうか。DatasetObj と LinReg をどうやって結びつけるのかよく分かりません。

DatasetObj

Java
1public class DatasetObj implements Dataset {
2    
3    private DPointObj[] a;
4
5    public DatasetObj(DPointObj[] a) {
6        if (a == null) {
7            throw new IllegalArgumentException();
8        }
9        for (int i = 0; i < a.length; i++) {
10            if (a[i] == null) {
11                throw new IllegalArgumentException();
12            }
13        }
14        this.a = a;
15    }
16    
17
18    public int numObs() {
19        return a.length;
20    }
21    
22
23    public boolean isEmpty() {
24        return this.numObs() == 0;
25    }
26    
27
28    public double sumX() {
29        double sum = 0;
30        for (int i = 0; i < a.length; i++) {
31            sum += a[i].getX();
32        }
33        return sum;
34    }
35    
36
37    public double sumY() {
38        double sum = 0;
39        for (int i = 0; i < a.length; i++) {
40            sum += a[i].getY();
41        }
42        return sum;
43    }
44    
45
46    public Double meanX() {
47        if (this.isEmpty()) {
48            return null;
49        } else {
50            return this.sumX() / this.numObs();
51        }
52    }
53    
54
55    public Double meanY() {
56        if (this.isEmpty()) {
57            return null;
58        } else {
59            return this.sumY() / this.numObs();
60        }
61    }
62    
63    
64    public Line bestFit(){
65        double sumXY = 0;
66        double sumXX = 0;
67        double m = (a.length * sumXY - this.sumX() * this.sumY()) / (a.length * sumXX - this.sumX() * this.sumX());
68        double b = (this.sumY() * sumXX - this.sumX() * sumXY) / (a.length * sumXX - this.sumX() * this.sumX());
69	
70        if (a.length <= 1) {
71            return null;
72        } else {
73        for (int i = 0; i < a.length; i++){
74            sumXY += a[i].getX() * a[i].getY();
75            sumXX += a[i].getX() * a[i].getX();
76        }
77        return new NVLineObj(m, b);
78        }
79    }
80
81    
82    public Double meanDistance(Line n){
83        if (this.isEmpty() || n == null) {
84            return null;
85        } else {
86            double m = n.getM();
87            double b = n.getB();
88            double sum = 0;
89            for(int i = 0; i < a.length; i++){
90                sum += Math.abs(b + m * a[i].getX() - a[i].getY()) / Math.sqrt(1 + m * m);
91            }
92            return sum / a.length;
93        }
94    }
95    
96
97    public Double rsq() {
98	if (this.isEmpty()) {
99	    return null;
100	} else {
101	    double varX = 0.0;
102	    double varY = 0.0;
103	    double meanXY = a[0].getX() * a[0].getY() / this.numObs();
104	    double sigX = Math.sqrt(varX);
105	    double sigY = Math.sqrt(varY);
106	    double r = (meanXY - this.meanX() * this.meanY()) / (sigX * sigY);
107	    for (int i = 0; i < a.length; i++) {
108		meanXY = a[i].getX() * a[i].getY() / this.numObs();
109		varX += a[i].getX() * a[i].getX() - this.meanX() * this.meanX();
110		varY += a[i].getY() * a[i].getY() - this.meanY() * this.meanY();
111	    }
112	    return r * r;
113	}
114    }	    
115    
116    
117}

LinReg

Java
1import java.util.Scanner;
2
3public class LinReg {
4
5    public static void main(String[] args) {
6	Scanner scn = new Scanner(System.in);
7	while (scn.hasNext()) {
8	    String line = scn.nextLine();